Research & Development

Research & development program in the department covers wide spectrum in Electronics, Control, Instrumentation and Computers. The core competencies includes process sensors, embedded real time systems, modeling and simulation, digital signal processing, image processing etc.

Research Facilities in the department:

  • HC 900 - C30 Honeywell model Hybrid controller
  • Siemens PLC
  • Wonder ware InTouch SCADA software
  • Spartan FPGA kits
  • Xilinx , Lab View, Code Composer, Multi-sim software
  • Cadence Software
  • Matlab 2023

List of guides and their research field

Sl. No. Name Specilization
1. Dr. Rajashekar J. S Process Instrumentation & Control
2. Dr. SATHEESH KUMAR J. Process Modeling and Control
3. Dr. V. S. Krushnasamy Control Systems, MEMS, Sensor Design, Soft computing methods.
4. Dr. Gopalaiah Signal Processing
5. Dr.S P Meharunnisa Immage Processing

Details of Research scholars

Sl No. Name Topic Guide/ Co guide details Status
1 Dr. Sangeetha BG Chalcogenide Thin Film Switching Devices for NVRAM Application Guide: Dr. K Suresh
HOD, Dept of IT, DSCE
Co Guide: Dr. C M Joseph
HOD Dept of Physics, DSCE
Awarded
2 Dr. T Sushma Measurement of Corneal Oxygen Consumption based on Fluorescence Lifetime Spectroscopy using Multi-channel Scalar Guide: Dr. Amutha S Prof., Dept of CSE
Co Guide: Dr. S P Srinivas Associate. Professor, Indiana University, Bloomington, USA
Awarded
3 Mrs.Silpa Ajith Kumar Automatic Detection of optic Disk, Nerve, and blood vessels in Retinal images using Hough Transformation Guide: Dr. J Satheesh Kumar, Associate Professor, Dept of EIE, DSCE Open Seminar 1
4 Mr. Krishna Mohan V SS Tuning of Model Predictive Controller using CARIMA Model GPC Technique for Two Tank interacting flow process identification Guide: Dr. Krushnasamy V S Professor, Dept. of EIE, DSCE, Bangalore
Co Guide Dr. H L Vishwanath, Professor, Dept. of ECE, DSU, Bangalore
Comprehensive Viva Completed
5 Mrs. Deepashri KV Design & implementation of Autonomous crop management techniques using multi-sensor data fusion Guide: Dr. J Satheesh Kumar, Associate Professor, Dept. of EIE, DSCE Comprehensive Viva Completed
6 Mr Ranga Sai Komaragiri Diabetic Macular Edema Detection Based on Hybrid Classification Technique Guide: Dr.V.G.Sangam
Professor & Head
Dept of ML, DSCE
Registered
7 Mrs. Lubna Taranum Automation Detection of Exudes for Diabetic Retinopathy Guide: Dr. J S Rajashekhar
Professor & Head
Dept of EIE, DSCE
Thesis Submitted
8 Ms. Kalpana Narayan Rode Classification of Multiple Sclerosis MR images using deep learning techniques Guide: Dr. J S Rajashekhar
Professor & Head
Dept of EIE, DSCE
Thesis Submitted
9 Ms.Supriya J Analysis of efficient isolated DC to DC converter with nondissipative snubber for photo voltaic applications Guide: Dr. J S Rajashekhar
Professor & Head
Dept of EIE, DSCE
Open Seminar 1
10 Mr.Sumit Mohanty A Novel Approach against Uncertainty for Industrial Batch Process Guide: Dr. J Satheesh Kumar
Associate Professor.,
Dept of EIE, DSCE
Comprehensive Viva Completed
11 Mr.Ranjith Pulyala Enhanced speech recognition signal processing using optimized hybrid features selection and classification Guide: Dr. V G Sangam
Professor & Head
Dept of ML, DSCE
Selected
12 Mr. Kedar Sudhir Kulkarni Reliability improvement of Electric vehicles using multiple input converters with input as battery, solar, supercapacitors and fuel cells Guide: Dr. J S Rajashekhar
Professor & Head
Dept of EIE, DSCE
Selected
13 Mrs. Nikhila S Medical Image Authentication Using Tele Radiology Guide Dr. Krushnasamy VS, Professor, Department of EIE, DSCE, Bangalore Registered

Funded Projects

Sl No Sponsoring Authority Name of the Faculty/Students Grant Amount Year of Sanction Name of the Project Status
1. KSCST Dr. Rajashekar J S
Dr. S P Meharunissa
Sneha M N
Aishwarya
Arunkumar
Prajwal Y S
6000/- 2023 Development of Web-Based Smart Monitoring System using IoT & Mobile Application for Grape Drying Buildings Completed
2. KSCST Prof. Silpa Ajith Kumar
Preethi Neraniki
Asritha Yadav
Shaik Shaheer Basha
6000/- 2023 Detection of Different Stages of Diabetic Retinopathy Using Deep Learning Techniques and Prototype Implementation using Raspberry Pi 4. Completed
Sl No Sponsoring Authority Name of the Faculty/Department Grant Amount Year of Sanction Name of the Project Status
1. KSCST, Bangalore Dr.J.S.Rajashekhar Rs. 5000 2022 Smart hydroponic Plant Disease Detection Using Deep Learning And IOT Completed
2. KSCST, Bangalore Ambika Naik Y Rs. 4500 2022 IOT BASED INGENIOUS PARKING MANAGEMENT SYSTEM Completed
Sl No Sponsoring Authority Name of the Faculty/Department Grant Amount Year of Sanction Name of the Project Status
1. KSCST Project

Dr.J.Satheesh Kumar, Dep.t of E&IE

5000 2021 Implementation of IOT based Remote Laboratory or E learning Completed
2. KSCST Project Dr.S.P.Meharunnisa, Dep.t of E&IE 5000 2021 Wi-Fi controlled real-time monitoring Robot using Raspberry PI Completed
3.

MODROB

AICTE

New Delhi

Dr.S.P.Meharunnisa, Dep.t of E&IE 9, 66,431/- 2020 Up-Gradation of Microcontroller/ Embedded Laboratory With IOT And Multimedia Applications Project in Progress
4. IEDC J.S.Rajashekhar Rs 80,000 2014 IPMS/SMILEY Wi-Fi POT Completed
5. TEXAS Instruments SilpaAjith Kumar Rs 10,000 2015 Low Cost, Low Power Eog based Human Machine Interface Completed
6. KSCST Meharunnisa.S.P Rs 6,500 2013 Perturb and Observe Maximum Power Point Tracking System
with Parallel Connection for PV stand-alone application.
Completed
7. AICTE, New Delhi J.S.Rajashekhar Rs 10.00 Lakhs 2011 Upgradation of Process Control Instrumentation Laboratory with Distributed Control System(DCS) Completed
8. KSCST, Bangalore K.V.Santosh Rs 5,000 2010 Intelligent street light Completed

 

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