| 2021 | IGARSS | LULC Image Classification with Convolutional Neural Network. | Anas Tukur Balarabe, Ivan Jordanov |
| 2018 | IJCNN | Distributed Neural Networks for Missing Big Data Imputation. | Alessio Petrozziello, Ivan Jordanov, Christian Sommeregger |
| 2017 | ICCS | Column-wise Guided Data Imputation. | Alessio Petrozziello, Ivan Jordanov |
| 2016 | IJCNN | Supervised radar signal classification. | Ivan Jordanov, Nedyalko Petrov, Alessio Petrozziello |
| 2015 | HAIS | Quantum Evolutionary Methods for Real Value Problems. | Jonathan Wright, Ivan Jordanov |
| 2014 | IJCNN | Sets with incomplete and missing data - NN radar signal classification. | Ivan Jordanov, Nedyalko Petrov |
| 2013 | CEC | Identification of radar signals using neural network classifier with low-discrepancy optimisation. | Nedyalko Petrov, Ivan Jordanov, Jon Roe |
| 2013 | KES | Radar Emitter Signals Recognition and Classification with Feedforward Networks. | Nedyalko Petrov, Ivan Jordanov, Jon Roe |
| 2012 | IJCNN | Intelligent approaches in locomotion. | Jonathan Wright, Ivan Jordanov |
| 2008 | HAIS | Hybrid Metaheuristics for Global Optimization: A Comparative Study. | Antoniya Georgieva, Ivan Jordanov |
| 2006 | IJCNN | Supervised Neural Network Training with a Hybrid Global Optimization Technique. | Antoniya Georgieva, Ivan Jordanov |
| 2005 | HIS | A Hybrid Heuristic Method for Global Optimization. | Antoniya Georgieva, Ivan Jordanov |