VK

Vinod K. Kulamala

Assistant Professor

Department of Computer Engineering and Technology

Machine Learning

Software Engineering

Research Quality HighlightsHigh-impact achievements across publications, IP, funded research, consultancies, and awards.

Research Benchmarks

Citation Impact155

Q2 / A Journal Papers1

International Conferences1

Book Chapters2

Peer-Reviewed Publications5

Scholarly Works

1

NON-INTRUSIVE FACIAL RECORDING SYSTEM WITH CONVOLUTION NEURAL NETWORK (CNN) FOR ATTENDANCE ASSIMILATION

DOI

Book Chapter

Vinod K. Kulamala, Madhuri Rao, Mr. Aditya Kumar, Balabhadra Sahu, Chiranjib Sahoo, K Susheel Kumar

Dec 2023

IIP Series

2

Medical diagnosis from health records using Natural Language Processing (NLP) with integration of Explainable Artificial Intelligence (XAI)

DOI

Book Chapter

Saneet Saluja, Madhuri Rao, Vinod K. Kulamala, Sagar S. Apune, Vitthal S. Gutte

Sept 2024

Advances in Computational Intelligence and Robotics

Scopus

3

Sentiment Analysis of Hazardous Events and Disasters

DOI

Conference Proceeding

Mr. Pranav S. Daga, Mr. Siddhesh C. Dumre, Madhuri Rao, Vinod K. Kulamala, Sumegh Tharewal, Dhanajay Bhagat

May 2025

2025 International Conference on Intelligent and Cloud Computing (ICoICC)

Scopus

4

Enhancing software fault prediction through data balancing techniques and machine learning

DOI

Journal Article

Mr. Akshat Raj, Durva Mahadeo Chavan, Priyal Agarwal, Mr. Jestin Gigi, Madhuri Rao, Vinayak P. Musale, Akshita Chanchlani, Murtaza Shabbirbhai Dholkawala, Vinod K. Kulamala

Dec 2025

Iaes International Journal of Artificial Intelligence

ScopusQ2

ScimagoQ2

5

Ensemble based deep learning models for crop and weed differentiation

DOI

Journal Article

Varnika Milind Mulay, Madhuri Rao, Vinod K. Kulamala

Sept 2025

Measurement Digitalization

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Patents & Intellectual Property0

IP Filings & Grants

Vinod K. Kulamala

Scholarly & Social Profiles

Academic Qualifications

Master of Technology (MTech)

Institutional Details

Research Request