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 |
---|---|---|---|
ANFIS learning using expectation maximization based Gaussian mixture model and multilayer perceptron learning[Formula presented] | Applied Soft Computing | Jabeen S., Baig M., Awais M.M., | 2023 |
Boosting With Prior for Accurate Classification | IEEE Access | Baig M., Ejaz T., Fahad K.M., Gilani S.A.M., Awais M.M., Saeed S., | 2023 |
CAMP: A context-aware cricket players performance metric | Journal of the Operational Research Society | Ayub M.S., Ullah N., Ali S., Khan I.U., Awais M.M., Khan M.A., Faizullah S., | 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) | Quraishi Q., Rizwan H., Awais M.M., | 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 | Jabeen S., Awais M.M., Shafiq B., | 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 | Khan G.H., Hashmi M.A., Awais M.M., Khan N.A., Basir R., | 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) | Hussain M.M., Jadoon T., Awais M.M., | 2019 |
Knowledge representation and management for precision agriculture: A case study | Communications in Computer and Information Science | Khalid M., Saim H., Qamar Z., Akhtar F., Awais M.M., | 2019 |
AdaBoost-based artificial neural network learning | Neurocomputing | Baig M.M., Awais M.M., El-Alfy E.-S.M., | 2017 |
A multiclass cascade of artificial neural network for network intrusion detection | Journal of Intelligent and Fuzzy Systems | Baig M.M., Awais M.M., El-Alfy E.-S.M., | 2017 |
Improving Recall of software defect prediction models using association mining | Knowledge-Based Systems | Rana Z.A., Mian M.A., Shamail S., | 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) | Baig M.M., El-Alfy E.-S.M., Awais M.M., | 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) | Javaid M.M., Yousaf M.A., Sheikh Q.Z., Awais M.M., Saleem S., Khalid M., | 2015 |
Comparing distance to consensus of collective relations using OWA operators | Journal of Intelligent and Fuzzy Systems | Khalid A., Awais M.M., | 2015 |
Learning from demonstration in robots using the shared circuits model | IEEE Transactions on Autonomous Mental Development | Suleman K.M.U., Awais M.M., | 2014 |
Intrusion detection using a cascade of boosted classifiers (CBC) | Proceedings of the International Joint Conference on Neural Networks | Baig M., El-Alfy E.-S.M., Awais M.M., | 2014 |
Incomplete preference relations: An upper bound condition | Journal of Intelligent and Fuzzy Systems | Khalid A., Awais M.M., | 2014 |
BOOSTRON: Boosting based perceptron learning | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Baig M.M., Awais M.M., El-Alfy E.-S.M., | 2014 |
Comparing ranking methods: Complete RCI preference and multiplicative preference relations | Journal of Intelligent and Fuzzy Systems | Khalid A., Awais M.M., | 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) | Rana Z.A., Awais M.M., Shamail S., | 2014 |
Workload management: A technology perspective with respect to self-*characteristics | Artificial Intelligence Review | Mateen A., Raza B., Sher M., Awais M.M., Mustapha N., | 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) | Rana Z.A., Malik S.A., Shamail S., Awais M.M., | 2013 |
Putting Peirce's theory to the test: Peircean evolutionary algorithms | Transactions of the Charles S Peirce Society | Akhtar J., Awais M.M., Koshul B.B., | 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 | Akhtar J., Awais M.M., Koshul B.B., | 2013 |
A framework for evolutionary algorithms based on Charles Sanders Peirce's evolutionary semiotics | Information Sciences | Akhtar J., Koshul B.B., Awais M.M., | 2013 |