Ivan Nikolov Jordanov Portrait

Professor Ivan Jordanov

Professor of Computational Intelligence

Ivan.Jordanov@port.ac.uk

PhD Supervisor

View my research outputs

Biography

I am a Professor of Computational Intelligence at the School of Computing. I have a PhD in Computer Aided Optimization, MSc in Applied Mathematics and Informatics from the Technical University of Sofia; and BSc in Mechanical and Electrical Engineering from the Naval University, Bulgaria.

I joined the 黑料入口 in 2003 after 3 years with De Montfort University as a Senior Lecturer; 2 years with the University of Wales Institute, Cardiff as a Senior Researcher; and 16 years with the Technical University Sofia as Associate Professor.

Research interests

Computational Intelligence (Machine Learning, Deep Learning, Neural Networks, Data Analytics, and Heuristic Global Optimisation)

My current research interest includes all aspects of analysis, design, modelling and investigation of supervised and unsupervised Machine Learning paradigms. These comprise designing, developing and proposing classical and deep learning neural network architectures (Convolutional Neural Networks (CNN) and Long Short Term Memory (LSTM) neural networks, self-attentive NNs), applied for solving real world image, time series, and pattern recognition, identification, and classification problems, based on large and big data sets. For example, I am a PI of a just successfuly completed 3-year (2021-2024) EPSRC EP-V002511-1 project 鈥Deep Learning Models for Fetal Monitoring and Decision Support in Labour鈥, a collaboration with Oxford University and Oxford NHS Trust (total cost: 拢762k (拢610k funded by EPSRC)). Other my projects include: UK Space Agency, UNITAR and UNOSAT 鈥Common Sensing: Work Package 350: Climate-related hazards鈥; Expedia Inc. 鈥Distributed Neural Networks for Missing Big Data Imputation鈥; SBRI 鈥Deep Learning for Firearm Detection from X-ray Images鈥; DSTL/CDE 鈥Neural Networks Generic Radar Signals Identification and Classification鈥, EPSRC (GR/S01702/01) "Investigation of Intelligent Techniques for Interpreting Freeform Surfaces from On-line Sketching"; NATO Science and Cooperation 鈥Intelligent Techniques in Computer Graphics and Visualisation鈥; UNIDO 鈥Optimization Techniques in Computer Graphics and CAD鈥; ROYAL SOCIETY Research Fellowship; RAE Distinguished Visiting Fellowship (as a host), and others.

My research in Data Analytics area is related to statistical pre-processing, dimensionality reduction and discrimination (PCA, ICA, LDA, etc.), dealing with missingness and data imputation methods, imbalanced datasets, data augmentation, etc.

My earlier research in Global Optimization field includes investigation of evolutionary techniques and heuristic approaches based on so-called Low Discrepancy Sequences, applied for combinatorial and global search optimization problems.

Research outputs

2024

Balarabe, A. T., Jordanov, I.

16 Jan 2024, In: IEEE Access, 21p.

2023

Asfaw, D., Georgieva, A., Impey, L., Jordanov, I., Lee, R., Namburete, A.

19 Jun 2023, In: Bioengineering. 10, 6, 17p., 730