Prof. Rahul Katarya

About

Dr. Rahul Katarya is working as a Professor in Department of Computer Science & Engineering in Delhi Technological University, Delhi India. His research interests include Big Data & prediction,Healthcare, Web Mining, Social Networks, Recommender systems, Personalization, Knowledge discovery, Computational intelligence, Multimedia, Human behaviour, and business intelligence.

Employment

• Delhi Technological University Professor

Education

• Delhi Technological University Ph.D.

Projects & Funding

Projects & funding information is unavailable.

Publications (56)

• Emerging Trends in Early Dementia Diagnosis: An Analysis on Advanced Machine Learning Approaches
  ACM Computing Surveys 2026 DOI: 10.1145/3764578
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• Alpha-Net: A dependable and trustworthy deep learning framework for securing industrial internet of things networks against botnet attacks
  Computers and Electrical Engineering 2026 DOI: 10.1016/j.compeleceng.2025.110919
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• Optimizing surveillance efficiency with deep learning-driven flood segmentation
  Natural Hazards 2026 DOI: 10.1007/s11069-025-07941-6
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• A BERTBoost Framework for Risk Stratification of Intensive Care Unit Patients Across Hospital Networks
  2026 DOI: 10.1007/978-3-032-07373-0_12
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• A Contextual and Sequential Model for Biomedical Named Entity Recognition
  2026 DOI: 10.1007/978-3-032-26349-0_35
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• CGD-FloodNet: A Robust Hybrid Model for Flood Probability Estimation Using Environmental Parameters
  Water Resources Management 2026 DOI: 10.1007/s11269-026-04819-5
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• Secure and Privacy‐Preserving Data Sharing in 6G‐Enabled Blockchain IoT Healthcare Systems
  SECURITY AND PRIVACY 2025 DOI: 10.1002/spy2.70105
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• HiEnWrite: A Hindi-English Bilingual Dataset for Big Five Personality Detection
  ACM Transactions on Asian and Low-Resource Language Information Processing 2025 DOI: 10.1145/3756010
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• MoSWIN: Monkey Search Optimization and SWIN-based Flood Classification Architecture
  Water Resources Management 2025 DOI: 10.1007/s11269-025-04250-2
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• FloodCNN-BiLSTM: Predicting flood events in urban environments
  Engineering Analysis with Boundary Elements 2025 DOI: 10.1016/j.enganabound.2025.106277
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