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Dr OM PRAKASH SAMANTRAY

vidwan id: 115716
Male

Associate Professor, Computer Science Engineering - Data Science
Anil Neerukonda Institute Of Technology & Sciences, Visakhapatnam

Expertise

  • Computer Science Theory and Methods

Publications

Total Articles 29
Books 0
Proceedings 0

Publications

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Scopus

Citations 67
h-index 2

CrossRef

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Citations 52
h-index 2
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Professional Recognition

2019

UGC NET

UGC

Community & Membership

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ISTE

2017
LIFE MEMBERSHIP

Bio

security, malware detection, data mining, machine learning, database management systems, compiler design

Personal Details

  • Male
  • Associate Professor , Anil Neerukonda Institute Of Technology & Sciences, Visakhapatnam
  • ANIL NEERUKONDA INSTITUTE OF TECHNOLOGY AND SCIENCES
PhD
Berhampur University 2022
M TECH
Other Institute 2010
B.Tech
Other Institute 2006
Associate Professor Feb 2025 – Present
Anil Neerukonda Institute Of Technology & Sciences, Visakhapatnam | Computer Science Engineering - Data Science
Associate Professor Aug 2023 – Jan 2025
Raghu Engineering College, Dakamarri Village, Bheemunipatnam Mandal | COMPUTER SCIENCE & ENGINEERING
Associate Professor Apr 2019 – Jul 2023
Raghu Institute Of Technology
Associate Professor Aug 2013 – Apr 2019
Narasaraopeta Engineering College, Yellamanda, Narasaraopet | CSE
Assistant Professor Feb 2008 – Apr 2013
Gandhi Institute of Engineering and Technology University | CSE

Related Profiles

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Assistant Professor (Grade-I)

N

Dr N PRAKASH

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Mrinmoy

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Research Scholar

Haranath

Mr Haranath Rakshit

Junior Research Fellow

Organisations (307+)

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Sunayana

Sunayana Buddharaju

Assistant Professor

Bosubabu

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Assistant Professor

Bollimonth

Dr Bollimonth Brahmaji

Assistant Professor

Botcha

Botcha Vineela Rani

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B. Vasantha

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ASHOK KUMAR

Dr ASHOK KUMAR N

Associate Professor

B B

Mr B B Ashok Kumar

Assistant Professor

SHAIK

Mr SHAIK ASIF ALI

Assistant Professor

Co-Authors (3)

Hemanth Kumar

Mr Hemanth Kumar Vasireddi

Gandhi Institute of Technology and Management

Satya Narayan

Dr Satya Narayan Tripathy

Berhampur University

Appala Srinuvasu

Dr Appala Srinuvasu Muttipati

Anil Neerukonda Institute Of Technology & Sciences, Visakhapatnam

Scholarly Work

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A hybrid machine learning approach for paddy crop disease prediction

Dr. Salina Adinarayana
S. Hrushikesava Raju
N.Sravanthi
Dr. Om Prakash Samantray
- Application No. : 202441075649A Filed : 07-10-2024
Published : 18-10-2024 Published

Machine Learning Based Solar Power Tracking System for Electric Vehicles

Dr. Mopi Devi Subba Rao
Dr.Polam Raju
Dr.S.Adinarayana
Dr.D.Srinivasa Rao
Engineering and Technology Application No. : 202241000709 A Filed : 06-01-2022
Published : 21-01-2022 Published

Scholarly Publications

An Opcode-based Malware Detection Model using Supervised Learning Algorithms

Open Access
article
Authors: S.N.Tripathy Om Prakash Samantray

IoT-Malware Classification Model Using Byte Sequences and Supervised Learning Techniques

Open Access
book chapter
Authors: Om Prakash Samantray, Satya Narayan Tripathy

Diabetic Disease Prediction System using Supervised Machine Learning Approaches

Open Access
article
Authors: Ommi Ramu, Brahmaji Godi, Om Prakash Samantray

A Machine Learning Model for Sentiment Analysis using Online Product Reviews

Open Access
article
Authors: International journal of advances in engineering and management(IJAEM)

E-Healthcare Monitoring System using IoT with Machine Learning Approaches

Open Access
Conference Paper
Authors: Brahmaji Godi ., Sangeeta Viswanadham ., Appala Srinuvasu Muttipati ., Om Prakash Samantray ., Sasi Rekha Gadiraju student .,

A Knowledge-Domain Analyser for Malware Classification

Open Access
Conference Paper
Authors: Om Prakash Samantray ., Satya Narayan Tripathy .,

A Data Mining Based Malware Detection Model using Distinct API Call Sequences

Open Access
article
Authors: Om Prakash Samantray, Satya Narayan Tripathy, Susanta Kumar Das

A theoretical feature-wise study of malware detection techniques

Open Access
article
Authors: Om Prakash Samantray, Satya Narayana Tripathy, Susant Kumar Das