Anilkumar Brahmane

About

Anilkumar is a Research scholar in Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. He is faculty member in Department of Computer Engineering, Sanjivani College of Engineering, Kopargaon, Maharashtra, India. His doctoral research is related to Big data classification using Apache Spark and Deep Learning. He takes the domain which signify the parallel computing and high performance computing using machine learning.
He holds the master’s degree in Computer networking from the Savitribai Phule Pune University, Pune, Maharashtra, India that investigated an Efficient Approach for Dynamic Distributed Network Intrusion Detection using Online Adaboost-based Parameterized Methods.
He authored the articles which are published in reputed Scopus indexed journals. His research contribution are also published in the form of chapter in book series Lecture Notes in Networks and System published by Springer.
Anilkumar also received the research grants from Board Of College And University Development – Bcud, Savitribai Phule Pune University, Pune , Maharashtra, India for the research entitled Camera Based Attack Detection And Prevention Techniques On Android Mobile Phones.
His area of interest is Machine Learning, Deep Learning, Big Data Classification,Soft computing, and High Performance Computing. He is a life member of Computer Society of India – CSI as well a life member of The Indian Society for Technical Education – ISTE. He loves music and singing.

Employment

• Sanjivani Rural Education Society's College of Engineering

Education

• G.H.R.C.O.E.M. M.E.Computer Networking
  2013 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (31)

• Deep Learning-Based Signal and Image Processing Architectures for VLSI and Embedded Systems
  INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES 2026
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• THE INTERSECTION OF LAW AND TECHNOLOGY: A CRITICAL STUDY ON REGULATORY CHALLENGES AND ETHICAL IMPLICATIONS IN THE DIGITAL ERA
  Scientific Culture 2026
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• AI-Assisted Detection Of Early Renal Dysfunction: Advancing Precision Medicine In Kidney Care
  Kidneys 2026 DOI: 10.65327/kidneys.v15i1.609
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• Retraction Note: Big data classification using deep learning and apache spark architecture
  Neural Computing and Applications 2026 DOI: 10.1007/s00521-026-12182-0
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• Innovating Remote Learning
  2025 DOI: 10.4018/979-8-3693-8593-7.ch013
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• Anomaly detection network in internet of medical things using upgraded inception gated recurrent unit with confidence scoring
  International Journal of Medical Engineering and Informatics 2025 DOI: 10.1504/ijmei.2025.10073557
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• Chaotic Biogeography Based Optimization Using Deep Stacked Auto Encoder for Big Data Classification
  International Conference on Intelligent Computing and Smart Communication 2024 DOI: 10.1007/978-981-99-8438-1_27
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• Hybrid Optimization Algorithm for Big Data Classification
  2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) 2023 DOI: 10.1109/i-smac58438.2023.10290640
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• Artificial Intelligence-Based Energy Management System for Renewable Energy Sources
  2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC) 2023 DOI: 10.1109/icesc57686.2023.10193623
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• Big data classification using deep learning and apache spark architecture
  Neural Computing and Applications 2021 DOI: 10.1007/s00521-021-06145-w
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