CSE - ARTIFICIAL INTELLIGENCE & MACHINE LEARNING

Mr. M. N. S. Gangadhar

Mr. M. N. S. Gangadhar

Assistant Professor (CSE-AI & ML)
nagasivagangadhar.m@bvrithyderabad.edu.in

AICTE ID: 1-3574314787
JNTUH ID: 9452-171207-134301
Ratified Status: Ratified

Ph.D.: Pursuing – at Annamalai University
M.Tech.: KLU, 2016
B.Tech : JNTUK, 2014

Teaching Experience: 9.2 Years
Research Experience: Nil
Industry Experience:  Nil

Scopus ID: 57213405691
WoS ID: –
Google Scholar ID: YVrebuYAAAAJ
Vidwan ID: –
ORCID ID: 0009-0006-6714-1248

Mobile Adhoc Networks Using Deep Learning Algorithms

Nil

Nil

REGULAR PATTERN MINING ON DYNAMIC DATABASES USING VERTICAL FORMATE ON GIVEN USER REGULARITY THRESHOLD

MNS Gangadhar, M Sreedevi

Journal of Theoretical and Applied Information Technology 86 (3), 360

Improved Network Security in MANET using Dingo Optimizer with Attention Convolutional Neural Network-based Intrusion Detection and Classification Model

M.N.S. Gangadhar, T. Suresh

International Journal of Electronics and Communication Engineering 12 (Issue7)

Nil

  1. Automated image extraction and classification system using reinforcement learning in medical imaging. Application no.2024441088596 A

Nil

  • ACM Professional Membership – Membership ID: 5043853

  •  

    ISTE Life Member – Membership ID : 77992

Nil

Nil

Nil

Nil

  • One Week FDP on “Platforms & System Security in Cyber Space”
  • 40 hours online Program on “Data Science for ALL” jointly organized by the Electronics and ICT Academies at IIT Roorkee, MNIT Jaipur, NIT Patna, PDPM IIITDM Jabalpur and NIT Warangal during March 22 – April 1, 2022 under the “Scheme of financial assistance for setting up of Electronics and ICT Academies”
  • Intel Unnati and Infosys Certification

–