|
 |
| Varun Ojha |
|---|
| University of Reading, London |
| Regular Member |
| Personal Web Site: |
| Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=1256 |
| Short Biography |
Dr. Ojha is a Lecturer in Compunter Science at University of Reading. Dr. Ojha was a Postdoctoral Researcher at the Chair of Information architecture. His research focusses around Machine Learning and Computational Intelligence. He focusses on Neural Networks, Fuzzy Inference Systems, Evolutionary Computation. His particular interests in data analysis are computational modeling, approximation, feature analysis, dimensionality reduction, clustering, and optimization. He has been involved in the past with two industrial and multidisciplinary and cross-discipline projects: IPROCOM (The development of in silico process models for roll compaction) and DIRCAMG (Development of Intelligent Recognizer for Component Analysis of Sewer Gases). Varun Ojha is a Marie Curie Fellow and holds a Ph.D. degree in Computer Science, Communication Technology, and Mathematics from the Technical University of Ostrava, Czech Republic. He completed his Master of Technology and Bachelor of Technology in Computer Science and Engineering. |
| List of top 5 publications in the last 5 years |
Ojha, V.K., Snášel, V., Abraham, A., Multiobjective programming for Type-2 Fuzzy Inference Trees, IEEE Transaction on Fuzzy Systems, Accepted, 2017
Ojha, V.K., Snášel, V., Abraham, A., Metaheuristic Design of Feedforward Neural Networks: A Review of Two Decades of Research, Engineering Applications in Artificial Intelligence, Vol 60, 97-116, 2017.
Ojha, V.K., Abraham, A., Snášel, V., Ensemble of Heterogeneous Flexible Neural Trees Using Multiobjective Genetic Programming, Applied Soft Computing, Elsevier, Vol 52, 2017
Ojha, V.K., Schiano, S, Wu, C, Abraham, A., Snasel, V., Predictive Modelling of Die Filling of the Pharmaceutical Granules Using the Flexible Neural Tree, Neural Computing Application, Springer, Accepted, 2016. DOI 10.1007/s00521-016-2545-8.
Ojha, V.K., Dutta, P., Chaudhuri, A., Identifying Hazardousness of Sewer-Pipeline Gas-Mixture using Classification Methods, Neural Computing Application, Springer, 28 (6), 2017. |
| List of top 5 academic activities during the last 5 years |