Dr Jagdish Patra
- Faculty of Science, Engineering & Technology
- School of Software and Electrical Engineering
- Department of Telecommunications, Electrical, Robotics and Biomedical Engineering
- ATC825 Hawthorn campus
Jagdish received his BSc. Eng., MSc. Eng. and PhD degrees, all in Electronics and Communication Engineering, in 1978, 1989 and 1996 respectively. He worked as a faculty member in different universities in India and Singapore. He visited, as visiting professor, to Technical University, Delft, The Netherlands; University of Tampere, Finland; Iwate Prefectural University, Japan, and HEIG-VD, Switzerland. His major research area is intelligent signal and image processing using artificial neural networks and evolutionary computing techniques. In addition, he has carried out research work in the areas of modelling and characterization of complex systems. Jagdish has published more than 140 research papers in reputed International Journals and top-tier International Conferences. Some of his publications have been highly cited. He has served as a reviewer for several IEEE Transactions and other international Journals.
Photovoltaics; Scientific Computing and Visualisation; Data Visualisation; Smart Grids and Microgrids; Signal and Image Processing
PhD candidate and honours supervision
Higher degrees by research
Accredited to supervise Masters & Doctoral students as Principal Supervisor.
PhD topics and outlines
Characterization of complex phenomena in solar cell materials: Intelligent techniques (aritificial neural networks, evolutional computation, fuzzy system) will be applied for characterization of solar cell materials to accurately predict the elctrical parameters of the solar cell materials that undergo complex processes.
Development of intelligent techniques for Smart Grid applications: Intelligent techniques (aritificial neural networks, evolutional computation, fuzzy system) are needed to manage and control heteregeneous energy sources (thermal, wind, solar, etc.) connected to a smart grid.
Development of Intelligent Watermarking techniques: Currently, images are frequently being transmitted over wireless media, e.g., the Internet. In hospitals, airports and other organizations, image documents are being distributed through unsecure media. In this study, we intend to use intelligent watermarking techniques in order to authenticate an image document.
Intelligent techniques for Wind energy prediction: Wind energy prediction is an important aspects of power scheduling in smard grid applications. Intelligent techniques (aritificial neural networks, evolutional computation, fuzzy system) are needed for accurate prediction of wind energy.
Machine Learnig Techniques for Business Applications: High risk is involved in financial business dealing with foreign exchange, and granting of loan.Therefore,highly accurate modeling techniques are needed to accurately predict the foreign exchange rates and prediction of bankruptcy. In this research project we intend to apply machine learning techniques for accurate prediction of foreign exchange, bankruptcy prediction and stock market prediction.
Machine learning techniques for drug discovery: In this project we intend to apply machine learning techniques for design and development of drugs for diabetes mellitus, for which no effectibe drug is now available.
Fields of Research
- Other Information And Computing Sciences - 089900
- Electrical And Electronic Engineering - 090600
Also published as: Patra, Jagdish; Patra, J.; Chandra Patra, Jagdish; Patra, Jagdish C.; Patra, Jagdish Chandra
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