Julian Benadit

About

Julian Benadit is working as Associate Professor in CHRIST (Deemed to be University) and Cyber Crime Intervention officer Bangalore. Currently, his primary research activities focus on the development of Intelligent caching in ICN and CDN networks. He is very actively involved in learning future Technologies like Robotics and Automation and Caching technologies in various fields like IOT. He obtained his Ph.D. from Pondicherry Engineering College (INDIA) ('17), and he has completed short term and Certification course from CISCO, IBM .

Employment

• Christ University Associate Professor
  2017 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• Optimized Fake News Detection in Social Networks Using Boosting Algorithms and Machine Learning Classifiers
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-981-95-2872-1_21
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• Neuronet-ASD: An integrated deep learning framework for enhanced ASD classification using rs-fMRI data
  Aip Conference Proceedings 2026 DOI: 10.1063/5.0341377
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• Enhancing Diagnostic Accuracy for Autism with BRCNet: A Novel Approach for Brain Region Segmentation and Classification Using Deep Learning
  2025 DOI: 10.1007/978-981-97-7839-3_26
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• A Review on Deep Learning Algorithms in the Detection of Autism Spectrum Disorder
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-981-99-9043-6_24
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• A Thorough Review of Deep Learning in Autism Spectrum Disorder Detection: From Data to Diagnosis
  Recent Advances in Computer Science and Communications 2024 DOI: 10.2174/0126662558284886240130154414
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• AdvanDNN: Deep Neural Network Analysis of Neuroimaging for Identifying Vulnerable Brain Regions in Autism Spectrum Disorder
  2024 DOI: 10.1007/978-981-97-6714-4_39
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• An Early Detection of Autism Spectrum Disorder Using PDNN and ABIDE I&II Dataset
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-981-99-8479-4_22
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• An Efficient Security-Enabled Routing Protocol for Data Transmission in VANET Using Blockchain Ripple Protocol Consensus Algorithm
  Eai Springer Innovations in Communication and Computing 2024 DOI: 10.1007/978-3-031-35751-0_18
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• E-cadherin expression and gene expression profiles in corticotroph pituitary neuroendocrine tumor subtypes
  Journal of Neuropathology & Experimental Neurology 2024 DOI: 10.1093/JNEN/NLAE034
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• Normalized group activations based feature extraction technique using heterogeneous data for Alzheimer's disease classification
  PeerJ Computer Science 2024 DOI: 10.7717/PEERJ-CS.2502
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