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The Departments of Computer Science and Engineering Offers Ph.D. & M.Sc. (Engg.) by Research Programmes.

The Department of Computer Science & Engineering has a research center affiliated to Visvesvaraya Technological University (VTU). Research lab is well equipped with computers and servers received through funded projects. Since its inception, the center has a good number of research scholars and guides conducting research activities. The faculty members of CSE are actively involved in the research activities, publishing their work in various refereed Journals and Conferences. Undergraduate and postgraduate students are encouraged to cultivate a research inclination by involving and guiding them in various research activities.

Thrust Areas:

The thrust areas majorly include Artificial Intelligence, Data Science, Network Security, Internet of Things, Computer Vision and Image Processing.

Research Facilities:

Research & Development Lab                                                                                                       Room No.: M 108

Sl.

No.

Name of Equipment With Configuration

Quantity in Numbers

R&D ROOM

1HP Pro Tower 400 G9 PCI Desktop PC

12th Gen Intel(R) Core(TM) i7-12700   2.10 GHz, 16.0 GB (15.7 GB usable), 64-bit operating system, x64-based processor, HP keyboard with 24” HP LED monitor.

3
2Dell System Optiplex390

Intel (R) Core(TM) i3-2100 CPU@3.10GHz, 4 GB RAM (3.90 GB usable), 64-bit Operating System,Dell Optical mouses ,Dell keyboard with 24” Dell LED monitor.

1
5PRINTER

HP InkJet  L3150, HP Laser Jet  MFP M429dw, HP Laser Jet Pro MFP M180n

 

3
6CHAIRS9
7BOOK CASE (BNMIT/CS/BC/12)2
  8Operating System

  • OS – Windows 10, Windows 11 Pro

Softwares

  • MS OFFICE 2016 & Microsoft Office 365

 


Ph.D
Guides in the Department:

Sl. NoNameArea of Research
1Dr.  Krishnamurthy G.NImage Processing, Wireless and Mobile Networks, Wireless Sensor Networks.
2Dr.  Chayadevi M LData Mining, Knowledge Engineering, Medical Image Processing, Machine learning, Computational Intelligence, Speech recognition.
3Dr.  Saritha ChakrasaliImage Processing
4Dr. Sejal Santosh NimbhorkarData science, Image and Video Analysis, IoT, Web Mining.
5Dr. Sheba SelvamSocial media retrieval, Semantic Web, Machine Learning, Deep Learning, Sentiment Analysis, Ontological Modeling
6Dr.  Niharika P KumarComputer Networks, Data Science, Blockchain
7Dr.  Geetha SData mining and Data warehousing, Block chain, IoT, Wireless Sensor Networks
8Dr.  Anitha NArtificial Intelligence, Machine Learning, Deep Learning
9Dr. Anusha PreethamDeep Learning, Machine Learning, DIP
10Dr. Sunitha RWireless Sensor Network, Machine Learning, Blockchain


Details
of Faculty members guiding Ph.D. students:

Sl. No.Guide NameCandidates NameArea of ResearchYear of Registration Status of work Research Center
1

 

Dr. Krishnamurthy  G NSmt. Jyothi R

( 1BG16PEJ02)

 

Multi-objective optimization for the performance of predictive algorithms on  the given data set and predictive data analysis. 

 

 

 

 

 

2015

 

 

 

 

Ph.D Awarded.

CSE, BNMIT
Smt. Madhura Prakash

(1BG19PCS06)

 

Semantic summarization of endoscopy videos.

 

 

 

2018

 

Pre-submission Colloquium

Completed.

CSE, BNMIT
Akshatha G C

(1BG20PCS01)

 

Resource and performance optimization for Bigdata Analytics on a Distributed Platform.

 

 

 

 

2020

 

 

 

Ph.D Provisional Registration Done.

CSE, BNMIT
Naveen Kumar R

(1BG20PCS03)

 

Profit driven VM migration system for efficient resource utilization in Dynamic Cloud Environment.

 

 

 

 

 

2020

 

 

 

Ph.D Provisional Registration Done.

CSE, BNMIT
   2Dr. Krishnamurthy  G N

 

Dr. Saritha Chakrasali

Smt. Harini S

(1BG18PCS01)

Intelligent system for analysis of Indian food grains. 

 

2018

 

Open Seminar-1

Completed.

CSE, BNMIT
3Dr. Sejal Santhosh

Nimbhorkar

Smt. Shraddha P W

(1BG19PCS04)

Abstactive text Summarization of unstructured data. 

2019

 

Ph.D Provisional Registration Done.

CSE, BNMIT
 

4

 

Dr.Sheba SelvamPriyanka Padki

(1BG20PCS04)

 

Multimodal AI based clinical data analysis for Rheumatic disease Prediction.

 

 

 

2021

 

 

Course Work Exam Completed.

 

CSE, BNMIT

 

 

Anu Mathews

(1BG19PCS01)

 

Image Recommendations using image analysis and user behavior.

 

 

2019

 

 

Comprehensive

Viva

Completed..

 

CSE, BNMIT

 

 

 

 

 

 

 

 

 

 

 

 

5

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Dr. Chayadevi M L

Shraddha C

(1JS18PCS01)

 

New Approach to reduce noise for speech Enhancement.

 

 

 

 

2018

 

Comprehensive        Viva-Voce Completed.

CSE, BNMIT

 

Anireekshita Narayana

(1BG20PCS07)

A Novel Approach for Service Discovery in Cloud Orchestrated SIoT using Machine Learning.

 

 

 

 

2020

 

 

 

Ph.D Provisional Registration Done.

CSE, BNMIT

 

Latha S S

(1BG20PCS06)

Deep Learning Based – Intrusion Detection System for novel Distributed Denial of Service Attack in Cloud Storage Applications.

 

 

 

 

 

2020

 

 

 

Course Work Exam Completed.

CSE, BNMIT

 

 

 

Amrutha M P

 

 

Deep Learning in Agriculture 

 

2022

 

 

Ph.D Provisional Registration Done.

CSE, BNMIT

 

RekhaSpatial Temporal Data Mining for Agriculture 

 

2022

 

 

Ph.D Provisional Registration Done.

 

CSE, BNMIT

 

Srinivas RathodAIML in Healthcare for early Detection of Liver Diseases Using LLM Models 

 

2023

 

 

Ph.D  Entrance Test Done.

 

CSE, BNMIT

 

  6Dr. Anusha PreethamNivedithaSolving Novel task of large Language models and Investing early sign towards AGI 

 

2023

 

 

Ph.D  Entrance Test Done.

 

CSE, BNMIT