Dr. Maganti Venkatesh

About

Dr. Maganti Venkatesh has completed B.Tech in Computer Science & Information Technology from Kakinada Institute of Engineering and Technology, Affiliated to JNTUK, Kakinada, Andhra Pradesh, in 2005.

Completed M.Tech in Computer Science and Engineering from Sasi Institute of Technology & Engineering, Affiliated to JNTUK, Kakinada, Andhra Pradesh, in 2011.

Awarded Ph.D. by Hindustan Institute of Technology & Science, Deemed-to-be-university, Padur, Chennai.

Currently working as Associate Professor in Aditya Engineering College (A), Surampalem, Permanently Affiliated with JNTUK, Kakinada, East Godavari District, Andhra Pradesh.

Having 18+ years of teaching experience.

12 Publications in Scopus, SCI-indexed Journals.

Presented at National and International conferences.

Areas of Interest are Educational Data Mining, Machine Learning, Optimization Algorithms.

Sound knowledge in Programming Languages like C, Java, Python, Spring Boot, Web application development and MEAN/MERN Stack Technologies.

Technical Trainer - Trained freshers in IT sector and several engineering students for their campus interviews.

Employment

• Aditya University HoD
  2021 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Improving the quality of images using Wasserstein generative adversarial networks for image restoration
  IAES International Journal of Artificial Intelligence (IJ-AI) 2026 DOI: 10.11591/ijai.v15.i3.pp2907-2919
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• Human sentiment analytics using multi model deep learning approach
  IAES International Journal of Artificial Intelligence (IJ-AI) 2025 DOI: 10.11591/ijai.v14.i4.pp3241-3252
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• Application of Multilingual OCR Algorithm for Converting Text from Images and PDFs
  Lecture Notes in Electrical Engineering 2025 DOI: 10.1007/978-981-97-8043-3_159
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• An Efficient IoT Security Solution Using Deep Learning Mechanisms
  Smart Innovation, Systems and Technologies 2023 DOI: 10.1007/978-981-19-4162-7_11
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• A Novel Deep Learning Mechanism for Workload Balancing in Fog Computing
  International Conference on Automation, Computing and Renewable Systems, ICACRS 2022 - Proceedings 2022 DOI: 10.1109/ICACRS55517.2022.10029081
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• Memetic swarm clustering with deep belief network model for e-learning recommendation system to improve learning performance
  Concurrency and Computation: Practice and Experience 2022 DOI: 10.1002/cpe.7010
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• Impact Study of Internet of Things on Smart City Development
  Lecture Notes in Electrical Engineering 2021 DOI: 10.1007/978-981-15-7961-5_93
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• Smart learning using personalised recommendations in web-based learning systems using artificial bee colony algorithm to improve learning performance
  Electronic Government 2020 DOI: 10.1504/EG.2020.105253
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• HAP- A novel web based searching mechanism for personalized learning material
  Journal of Advanced Research in Dynamical and Control Systems 2019
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• Recommendations based on capability in e-learning systems ising abc with pso to improve learning performance
  International Journal of Advanced Science and Technology 2019
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