COMMITTEE

Research Centres

COMMITTEE

Research Centres
Computer Science & Engineering
Computer Science & Engineering

The Research & Development Center of the Department of Computer Science &  Engineering at Sri Krishna Institute of Technology, Bengaluru, was established in 2021 with the vision of promoting advanced research, innovation, and industry collaboration.The center is headed by Dr. Nirmala S. Guptha is Professor and Dean Academics in Computer Science and Engineering at Sri Krishna Institute of Technology, Bangalore, with over 26+ years of combined academic and industry experience.The Research scholars are pursuing the research in Image processing, Artificial Intelligence, Deep learning, Machine learning, Deep Neural Networks.

Research Guides Table
Research Guides Table

Name

Department

 VTU Guide ID

Area

 No. of Scholars

Dr Nirmala S Guptha

CSE

012021RSCS000461

Image processing

4 (2 @ SKIT, 1-SJCIT, 1-BMSCE)

CSE

012021RSCS000461

Image processing , AI

Dr Hemalatha K L

CSE

-

Image Processing

-

Dr. Jayasudha K

AIML

042022RSCS003428

Deep Neural Network

2

AIML

042022RSCS003428

Image Processing

Name of the Member

Department

 VTU Guide ID

Area

No. of Scholars

Dr Nirmala S Guptha

CSE

012021RSCS000461

Image processing

4(2 @ SKIT,1-SJCIT,1-BMSCE)


CSE

012021RSCS000461

Image processing , AI


Dr Hemalatha K L

CSE

-

Image Processing

-

Dr. Jayasudha K

AIML

042022RSCS003428

Deep Neural Network

2


AIML

042022RSCS003428

Image Processing


Name of the Member

Department

VTU Guide ID

Area

No. of Scholars

Dr Nirmala S Guptha

CSE

012021RSCS000461

Image processing

4(2 @ SKIT,1-SJCIT,1-BMSCE)


CSE

012021RSCS000461

Image processing , AI


Dr Hemalatha K L

CSE

-

Image Processing

-

Dr. Jayasudha K

AIML

042022RSCS003428

Deep Neural Network

2


AIML

042022RSCS003428

Image Processing

-

Mrs. Savitha R

Member

Member

Member

Electronics & Communications Engineering

Ms. Ramya H

Member

Member

Member

Artificial Intelligence & Machine Learning

PhD Scholars Table
PhD Scholars Table

Scholar Name

Scholar Name

Guide

Guide

Research Title

Research Title

Status

Status

Year of Registration

Year of Registration

Azmath Unnisa

Azmath Unnisa

Dr Nirmala S Guptha

Dr Nirmala S Guptha

Design and Develop a Dental Biometric Framework for Human Authentication using Cross-Modal Integration

Design and Develop a Dental Biometric Framework for Human Authentication using Cross-Modal Integration

CV id done, OS1 to be scheduled soon

CV id done, OS1 to be scheduled soon

RE Registration-29/10/2022

RE Registration-29/10/2022

Nayana R

Nayana R

Dr Nirmala S Guptha

Dr Nirmala S Guptha

AI-Trained Robots for Orthopedic Surgery with 3D Imaging Through a Non-Invasive Procedure

AI-Trained Robots for Orthopedic Surgery with 3D Imaging Through a Non-Invasive Procedure

Course Work in Progress

Course Work in Progress

2025

2025

Gavina C G

Gavina C G

Dr Hemalatha K L

Dr Hemalatha K L

Prediction of Cutting Tool Life using Image Processing

Prediction of Cutting Tool Life using Image Processing

Open seminar 2 scheduled on March 2

Open seminar 2 scheduled on March 2

-

-

Shwetha B V

Shwetha B V

Dr Hemalatha K L

Dr Hemalatha K L

Design a Framewrork for Detection and Classification of Grape Leaf Disease using Hybrid Deep Learning Techniques

Design a Framewrork for Detection and Classification of Grape Leaf Disease using Hybrid Deep Learning Techniques

Course work completed

Course work completed

-

-

Scholar Name

Guide

Research Title

Status

Year of Registration

AZMATH UNNISA

Azmath Unnisa

Dr Nirmala S Guptha

Design and Develop a Dental Biometric Framework for Human Authentication using Cross-Modal Integration”

CV id done, OS1 to be scheduled soon

RE Registration-29/10/2022

NAYANA R

Nayana R

Dr Nirmala S Guptha

AI-Trained Robots for Orthopedic Surgery with 3D Imaging Through a Non-Invasive Procedure

Course Work in Progress

2025

GAVINA C G

Gavina C G

Dr Hemalatha K L

Prediction of Cutting Tool Life using Image Processing

Open seminar 2 scheduled on March 2

-

Shwetha B V

Dr Hemalatha K L

Design a Framewrork for Detection and Classification of Grape Leaf Disease using Hybrid Deep Learning Techniques

Course work completed

-

Mr. Appese SD

Member

Member

Member

Mechanical Engineering

Mrs. Savitha R

Member

Member

Member

Electronics & Communications Engineering

Ms. Ramya H

Member

Member

Member

Artificial Intelligence & Machine Learning