Dr. Rammurthy D

Associate Professor

Qualification Details

• B E (Electronics & Communication Engineering)
• MTech (VLSI Design & Embedded systems Design)
• PhD (Electrical and Electronics Engineering sciences)

Professional Experience

• Possess 17+ years of experience in teaching as well as research.
• Associate Professor, Department of Electronics and Communication Engg, Rajeev Institute of Technology, Hassan [April 2023-till date]
• Professor, Department of Electronics and Communication Engg., Mysuru Royal Institute of Technology, Mandya [May 2022 to till date].
• Assistant Professor, Dept. of ECE, NIT, Raichur. [Aug. 2010 to May 2022].
• Assistant Professor, Dept. of ECE, JVIT, Bidadi. [Jun. 2005 to Aug. 2008].
• Lecturer in Government Polytechnic, Raichur. [Jun. 2004 to Jun. 2005].
• Testing Engineer, Echologix, Bengaluru. [Jun 2003 to May. 2004].

Publication Details

• D Rammurthy, Dr. Mahesh. P.K, “Hybrid Optimization Dependent deep Learning Classifier for brain tumor classification using MR Images”, Journal of Mechanics in Medicine and Biology, 2022.
• Vasanth Reddy, D Rammurthy, “TO Identify Plant Leaf Disease Using Deep Learning Technique”, International Journal of Scientific Research in Engineering and Management (IJSREM), Volume: 05 Issue: 08, Aug – 2021.
• Rammurthy, Dr. Mahesh P K, “Whale Harris Hawks Optimization based on Deep Learning Classifier for brain tumor detection using MRI images”, Journal of King Saud University- Computer and Information Sciences, https://doi.org/10.1016/j.jksuci.2020.08.006.
• D Rammurthy, Dr Mahesh P K, “Brain Tumor Segmentation based on Rough Set Theory for MR Images with Cellular Automata Approach”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-4, February 2019.
• D Rammurthy, Dr Mahesh.P.K., “An MRI Brain Image segmentation and tumor detection using SOM-clustering and PSVM Calculate”, Grenze ID: 02. ICCTEST.2017.1.3@ grenze scientific society, 2017.
• D Rammurthy, Dr Mahesh.P.K. K,” Brain Tumor Segmentation based on Rough Set Theory for MR Images with CA Approach”, Imperial Journal of Interdisciplinary Research (IJIR), Vol-2, Issue. 2016.

International Conferences

• “An MRI Brain Image Segmentation and Tumor Detection using SOM-Clustering and PSVM Classifier” in “International Conference on Current Trends in Engineering, Science & Technology” held at DBIT, Bangalore, from January 5-7, 2017.
• “Brain Tumor Segmentation in MRI Using Cuckoo search optimization” in ICCRAES-2016 held at PDA College of Engineering, Kalaburagi, from 4th Oct to 6th Oct 2016.

Indian Patent Publications

• A Novel Block Based Feature Level Image Fusion System LWT and Neural Networks (Application Number: 202141037164).
• Fully Automated Brain Tumor Segmentation Using Deep Learning Method (Application Number: 202141039083).
• IoT-Based Automated Ration Delivery Computing System With Improved Transparency, (Application Number: 202241011362).

Australian Patent Publication

• An Automatic Tumor Detection system based on Local Linear Wavelet Artificial Neural Network with Hybrid Optimization (Application Number: 20211103132).

Faculty Development Program

• “Digital Image Processing” from July – October 2019 in association with NPTEL
• “Internet of Things (IoT)” From 23^rd to 24^th August 2017, in Association with Orange Research Labs, Hyderabad organized by Navodaya Institute of Technology, Raichur.
• “Digital Communication System Design” from 17^th to 18^th Feb 2017, in Association with VEDLABS, organized by Navodaya Institute of Technology, Raichur.
• “Applications of SCILAB in DSP and Image Processing“, From 12^th to 13^th August 2016, organized by Navodaya Institute of Technology, Raichur.
• “Teaching and Pedagogical Skills” from 18^th to 20^thjuly 2016, organized by Navodaya Institute of Technology, Raichur.
• “MATLAB and its applications to emerging problems” from 27^th April to 1^st May 2016, organized by Navodaya Institute of Technology, Raichur.
• “Latex and Open-source Technology and Role of Modelling in Research Methodologies” from 7^th to 8^th May 2016, organized by Navodaya Institute of  Technology, Raichur.
• “VLSI Design using Cadence Tools”, from 29^th June to 3^rd July 2015 in KSIT, Bangalore in association with M/S Cadence and M/S Entuple Technologies Pvt Ltd.
• “Digital Image processing and its applications”, from 27^th April to 1^st May 2015, organized by Navodaya Institute of Technology, Raichur.
• “The pedagogy Training Program” from 28^th to 31^st January 2013, organized by Sona College off Technology, Salem, Tamilnadu.

Workshops Attended

• “MATLAB/SIMULINK with Real Time Applications” from 16^th to 17^th February 2018, organized by Navodaya Institute of Technology, Raichur.
• “Applications of MATHWORKS products in engineering and FPGA Design Flow on Nexys-4 DDR board using Vivado Design Suite” from 19^thto 20^th Feb 2016, organized by Navodaya Institute of Technology, Raichur.
• “Basics of Digital Signal Processor and Applications” from 3^rd to 15^th March 2003, organized Analog Devices-IIT Madras, DSP Learning Centre.

Certificate Courses

• “Digital Image Processing” from July – October 2019 in association with NPTEL achieved a silver medal with 72%.

Book Chapters

• “Demystifying Graph Data Science graph algorithms, analytics methods, platforms, databases and use cases”, September 2022.

Text Book Published

• “Micro Electro Mechanical System (MEMS)” published by SCIRO Publishers, August 2022

Responsibilities Handled

• IQAC Director for institution
• AICTE & VTU Coordinator.
• Reviewer/ Advisor – International Journals & Conferences.
• Expert – Faculty Recruitment.
• Program Officer, National Service Scheme at NIT-Raichur for 3 years
• College Internal Assessment Coordinator.