![](https://www.driems.ac.in/wp-content/uploads/2024/08/DR.JIBANANANDA-MEHENA.jpg)
Prof. (Dr.) Jibanananda Mehena
PROFESSOR
Dr. Jibanananda Mehena is presently working as Professor & Head in the Department of Electronics & Telecommunication Engineering of DRIEMS University, Cuttack. He has done his M. Tech. in Electronics Engg. from Visvesvaraya National Institute of Technology (VNIT), Nagpur and Ph.D. in the area of Medical Image Analysis. He has more than twenty one years of teaching and research experience. He has published more than twenty five research papers in national and international journals and published eight books to his credit. He has successfully guided more than thirteen M.Tech. thesis and more than forty B.Tech. project in the field of Electronics & Telecommunication Engineering. He has received various grants from different organization for modernizing state of the art research laboratories, conducting conference and short term training program in the field of Electronics & Telecommunication Engg. He has awarded Best teacher, Teacher's excellence and Best researcher award from DRIEMS group of institutions. He is a life member of Institute of Engineers and ISTE. His area of interest includes VLSI Design, Microprocessor & Microcontroller, Signal and Image Processing.
Profile Links
- Scopus Id :
- Vidwan Id : 174996
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Awards
Memberships
Recent Publications
Awards
• Dr. Subash Chandra Rath memorial research award in the year 2022 for his outstanding contribution towards research work and external funding
• Teacher’s Excellence Award for the year 2017
• Best Teacher Award inthe year 2009
• MHRD Scholarship during M.Tech. (2001-2002)
• Qualified GATE-2001 in ECE with percentile 93.22
• Qualified GATE-2000 in ECE with percentile 85.16
Memberships
MIE and ISTE
Recent Publications
- Medical images edge detection based on mathematical morphology
- Brain Tumor Segmentation and Extraction of MR Images Based on Improved Watershed Transform
- Medical Image Edge Detection Using Modified Morphological Edge Detection Approach
- Medical Image Edge Detection Based on Soft Computing Approach
- Medical Image Segmentation and Detection of MR Images Based on Spatial Multiple-Kernel Fuzzy C-Means Algorithm
- Medical Image Edge Detection Based on Neuro-Fuzzy Approach
- Automatic Edge Detection Model of MR Images Based on Deep Learning Approach
- Analysis of Differential Evolution Optimization-Based Cascade Controller for Frequency Regulation of Power System