Dr Varun Ojha

Email:
v.k.ojha@reading.ac.uk
Phone:
+44 (0)118 378 8609
Job title:
Lecturer in Computer Science

Office

Room 145

Building location

Polly Vacher

Areas of interest

Artificial intelligence
Machine learning
Computational intelligence
Evolutionary computation and optimisation
Pattern recognition
Natural language processing
Fuzzy inference systems.

Research projects

Dr Ojha worked as a Marie-Curie Fellow in a European Union-funded project on interdisciplinary research concerning computational intelligence modelling of pharmaceutical processes.

Background

Dr Ojha worked as a postdoctoral researcher at ETH Zurich, Switzerland in a Swiss National Science Foundation project concerning machine learning and signal processing for pattern analysis of human's perception of the urban environment. He was awarded a PhD in Computer Science and Applied Mathematics by the Technical University of Ostrava, Czech Republic. His PhD work was on feature selection and function approximation using adaptive algorithms.

Before this, Dr Ojha worked as a research fellow in a Government of India funded-project on interdisciplinary research aims at machine learning and signal processing based pattern recognition of mixed gases. He earned a Master of Technology and Bachelor of Technology in Computer Science & Engineering.

Professional bodies/affiliations

Dr Ojha is an Institute of Electrical and Electronics Engineers (IEEE) senior member and member of the Association of Computing Professionals (ACM).

Websites/blogs

Find Dr Ojha on Google Scholar.

Publications

Taylor, R. , Martino, I. , Nicosia, G. , Ojha, V. ORCID: 0000-0002-9256-1192 (2021) Sensitivity analysis for deep learning: ranking hyper-parameter influence.
Pravin, C. , Martino, I. , Nicosia, G. , Ojha, V. ORCID: 0000-0002-9256-1192 (2021) Adversarial robustness in deep learning: attacks on fragile neurons.
Vandaele, R. , Dance, S. ORCID: 0000-0003-1690-3338 , Ojha, V. ORCID: 0000-0002-9256-1192 (2021) Deep learning for automated river-level monitoring through river camera images: an approach based on water segmentation and transfer learning. Hydrology and Earth System Sciences , 25 (8). pp. 4435-4453. ISSN: 1027-5606 | doi: https://dx.doi.org/10.5194/hess-25-4435-2021
Jaikumar, P. , Vandaele, R. , Ojha, V. ORCID: 0000-0002-9256-1192 (2021) Transfer learning for instance segmentation of waste bottles using Mask R-CNN algorithm. pp. 140-149. ISSN: 2194-5357 | doi: https://dx.doi.org/10.1007/978-3-030-71187-0_13
Ward, B. , Pravin, C. , Chetcuti, A. , Hayashi, Y. , Ojha, V. ORCID: 0000-0002-9256-1192 (2021) Classification of musical preference in generation Z through EEG signal processing and machine learning. pp. 117-127. ISSN: 2194-5357 | doi: https://dx.doi.org/10.1007/978-3-030-71187-0_11
Ojha, V. ORCID: 0000-0002-9256-1192 , Jansen, G. , Patanè, A. , La Magna, A. , Romano, V. , Nicosia, G. ORCID: 0000-0002-0650-3157 (2021) Design and characterization of effective solar cells. Energy Systems ISSN: 1868-3967 | doi: https://dx.doi.org/10.1007/s12667-021-00451-x
Shergill, J. , Pravin, C. , Ojha, V. ORCID: 0000-0002-9256-1192 (2021) Accent and gender recognition from English language speech and audio using signal processing and deep learning. pp. 62-72. ISSN: 2194-5357 | doi: https://dx.doi.org/10.1007/978-3-030-73050-5_7
Pravin, C. and Ojha, V. ORCID: 0000-0002-9256-1192 (2021) A novel ECG signal denoising filter selection algorithm based on conventional neural networks. | doi: https://dx.doi.org/10.1109/ICMLA51294.2020.00176
Vandaele, R. , Dance, S. ORCID: 0000-0003-1690-3338 , Ojha, V. ORCID: 0000-0002-9256-1192 (2021) Automated water segmentation and river level detection on camera images using transfer learning. pp. 232-245. | doi: https://dx.doi.org/10.1007/978-3-030-71278-5

Ojha, V. and Nicosia, G. (2020) Multi-objective optimisation of multi-output neural trees. | doi: https://dx.doi.org/10.1109/CEC48606.2020.9185600

Ojha, V. , Abraham, A. , Snášel, V. (2019) Heuristic design of fuzzy inference systems: a review of three decades of research. Engineering Applications of Artificial Intelligence , 85 pp. 845-864. ISSN: 0952-1976 | doi: https://dx.doi.org/10.1016/j.engappai.2019.08.010
Bielik, M. , Schneider, S. , Kuliga, S. , Griego, D. , Ojha, V. , König, R. , Schmitt, G. , Donath, D. (2019) Examining trade-offs between social, psychological, and energy potential of urban form. ISPRS International Journal of Geo-Information , 8 (2). ISSN: 2220-9964 | doi: https://dx.doi.org/10.3390/ijgi8020052
Ojha, V. , Griego, D. , Kuliga, S. , Bielik, M. , Bus, P. , Schaeben, C. , Treyer, L. , Standfest, M. , Schneider, S. , König, R. , Donath, D. , Schmitt, G. (2019) Machine learning approaches to understand the influence of urban environments on human’s physiological response. Information Sciences , 474 pp. 154-169. ISSN: 0020-0255 | doi: https://dx.doi.org/10.1016/j.ins.2018.09.061

Ojha, V. ORCID: 0000-0002-9256-1192 and Amban Mishra, D. (2018) Neural tree for estimating the uniaxial compressive strength of rock materials. Hybrid Intelligent Systems pp. 1-10. ISSN: 2194-5357 ISBN: 9783319763507 | doi: https://dx.doi.org/10.1007/978-3-319-76351-4_1
Ojha, V. , Schiano, S. , Wu, C. , Snásel, V. , Abraham, A. (2018) Predictive modeling of die filling of the pharmaceutical granules using the flexible neural tree. Neural Computing and Applications , 29 (7). pp. 467-481. ISSN: 0941-0643 | doi: https://dx.doi.org/10.1007/s00521-016-2545-8
Ojha, V. , Snasel, V. , Abraham, A. (2018) Multiobjective programming for type-2 hierarchical fuzzy inference trees. IEEE Transactions on Fuzzy Systems , 26 (2). pp. 915-936. ISSN: 1063-6706 | doi: https://dx.doi.org/10.1109/TFUZZ.2017.2698399

Ojha, V. , Dutta, P. , Chaudhuri, A. (2017) Identifying hazardousness of sewer pipeline gas mixture using classification methods: a comparative study. Neural Computing and Applications , 28 (6). pp. 1343-1354. ISSN: 0941-0643 | doi: https://dx.doi.org/10.1007/s00521-016-2443-0
Ojha, V. , Abraham, A. , Snásel, V. (2017) Ensemble of heterogeneous flexible neural trees using multiobjective genetic programming. Applied Soft Computing , 52 pp. 909-924. ISSN: 1568-4946 | doi: https://dx.doi.org/10.1016/j.asoc.2016.09.035
Ojha, V. , Abraham, A. , Snasel, V. (2017) Metaheuristic design of feedforward neural networks: a review of two decades of research. Engineering Applications of Artificial Intelligence , 60 pp. 97-116. ISSN: 0952‐1976 | doi: https://dx.doi.org/10.1016/j.engappai.2017.01.013

Abdelwahab, S. , Ojha, V. ORCID: 0000-0002-9256-1192 , Abraham, A. (2016) Neuro-fuzzy risk prediction model for computational grids. Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015 pp. 127-136. | doi: https://dx.doi.org/10.1007/978-3-319-29504-6_13
Ojha, V. ORCID: 0000-0002-9256-1192 , Abraham, A. , Snasel, V. (2016) Metaheuristic tuning of type-II fuzzy inference systems for data mining. 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016 pp. 610-617. | doi: https://dx.doi.org/10.1109/FUZZ-IEEE.2016.7737743
Ojha, V. ORCID: 0000-0002-9256-1192 , Abraham, A. , Snasel, V. (2016) Ensemble of heterogeneous flexible neural tree for the approximation and feature-selection of Poly (Lactic-co-glycolic Acid) micro-and nanoparticle. Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015 pp. 155-165. | doi: https://dx.doi.org/10.1007/978-3-319-29504-6_16
Zjavka, L. , Snásel, V. , Ojha, V. ORCID: 0000-0002-9256-1192 , Pedrycz, W. (2016) A substitution of the general partial differential equation with extended polynomial networks. Proceedings of the International Joint Conference on Neural Networks , 2016-Octob pp. 4819-4826. | doi: https://dx.doi.org/10.1109/IJCNN.2016.7727833
Basterrech, S. and Ojha, V. ORCID: 0000-0002-9256-1192 (2016) Temporal learning using echo state network for human activity recognition. Proceedings - 2016 3rd European Network Intelligence Conference, ENIC 2016 pp. 217-223. | doi: https://dx.doi.org/10.1109/ENIC.2016.039

Ojha, V. , Jackowski, K. , Abraham, A. , Snásel, V. (2015) Dimensionality reduction, and function approximation of poly (lactic-co-glycolic acid) micro-and nanoparticle dissolution rate. International Journal of Nanomedicine , 10 (1). pp. 1119-1129. ISSN: 1178-2013 | doi: https://dx.doi.org/10.2147/IJN.S71847

Ojha, V. ORCID: 0000-0002-9256-1192 , Jackowski, K. , Snášel, V. , Abraham, A. (2014) Dimensionality reduction and prediction of the protein macromolecule dissolution profile. Advances in Intelligent Systems and Computing , 303 pp. 301-310. | doi: https://dx.doi.org/10.1007/978-3-319-08156-4_30
Ojha, V. ORCID: 0000-0002-9256-1192 , Abraham, A. , Snasel, V. (2014) Simultaneous optimization of neural network weights and active nodes using metaheuristics. 2014 14th International Conference on Hybrid Intelligent Systems, HIS 2014 pp. 248-253. | doi: https://dx.doi.org/10.1109/HIS.2014.7086207
Ojha, V. ORCID: 0000-0002-9256-1192 , Jackowski, K. , Abraham, A. , Snásel, V. (2014) Feature selection and ensemble of regression models for predicting the protein macromolecule dissolution profile. 2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014 pp. 121-126. | doi: https://dx.doi.org/10.1109/NaBIC.2014.6921864
Chatterjee, T. , Ojha, V. ORCID: 0000-0002-9256-1192 , Adhikari, M. , Banerjee, S. , Biswas, U. , Snášel, V. (2014) Design and implementation of an improved datacenter broker policy to improve the QoS of a cloud. Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014 pp. 281-290. | doi: https://dx.doi.org/10.1007/978-3-319-08156-4_28
Bandyopadhyay, D. , Dasgupta, K. , Mandal, J. , Dutta, P. , Ojha, V. ORCID: 0000-0002-9256-1192 , Snášel, V. (2014) A framework of secured and bio-inspired image steganography using chaotic encryption with genetic algorithm optimization (CEGAO). Proceedings of the Fifth International Conference on Innovations in Bio-Inspired Computing and Applications IBICA 2014 pp. 271-280. | doi: https://dx.doi.org/10.1007/978-3-319-08156-4_27
Ojha, V. , Abraham, A. , Snášel, V. (2014) ACO for continuous function optimization: a performance analysis. pp. 145-150.

Dr Varun Ojha

Office

Building location

Areas of interest

Research projects

Background

Professional bodies/affiliations

Websites/blogs

Publications

2021

2020

2019

2018

2017

2016

2015

2014