Isha Das

About

Isha Das is actively pursuing research in advanced network communication, IoT systems, and distributed sensor networks. She applies machine learning techniques such as predictive modeling, deep neural networks, reinforcement learning, graph-based optimization, anomaly detection, and real-time data fusion, alongside applied experimentation, hardware-software co-design, edge-computing strategies, and empirical performance analysis within CUET’s Network Communication and IoT Lab. Concurrently, she is completing her A-Levels as a private candidate under the British Council, Bangladesh. Her work contributes to ongoing innovations in intelligent networked systems, cyber-physical interfaces, IoT analytics pipelines, and ML-enabled network optimization strategies.

Employment

• University of Toronto Student
  2026 - 2028
• Chittagong University of Engineering and Technology
  2023 - 2026

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Pattern Recognition Tasks with Personalized Federated Learning
  Emerging Science Journal 2026 DOI: 10.28991/ESJ-2026-010-02-020
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• Post-Quantum Identity-Based Linkable Ring Signcryption for Edge IoT Devices
  Divyanshu Sinha, Sachin Kumar Gupta, Isha Das +6 more
  IEEE Transactions on Consumer Electronics 2026 DOI: 10.1109/TCE.2026.3655021
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• Secure and Privacy-Preserving Post-Quantum Attribute-Based Searchable Encryption for Edge-Driven Transportation Systems
  Chintureena Thingom, Bhagavan Konduri, Isha Das

  +6 more

  • V. Rama Krishna
  • Rahul Suryoda
  • Shrabani Mallick
  • Faheem Ahmad Reegu
  • Feruza Saidova
  • +1 more
  IEEE Transactions on Consumer Electronics 2026 DOI: 10.1109/TCE.2025.3632071
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• Graphene based terahertz MIMO antenna with machine learning regression for 6G communications
  Scientific Reports 2026 DOI: 10.1038/s41598-025-32487-9
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• Comparative Analysis Brain Tumor Classification Using Different Convolutional Neural Networks (CNN) Algorithms
  2026 DOI: 10.1007/978-3-032-18282-1_15
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• High-performance quatrefoil-slotted THz MIMO antenna for 6G applications with regression-based machine learning validation
  Scientific Reports 2025 DOI: 10.1038/s41598-025-28657-4
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• Predictive modelling and high-performance enhancement smart thz antennas for 6 g applications using regression machine learning approaches
  Scientific Reports 2025 DOI: 10.1038/s41598-025-18458-0
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• High performance grid structured MIMO antenna with regression machine learning for high-speed sub THz and THz 6G IoT applications
  Scientific Reports 2025 DOI: 10.1038/s41598-025-15773-4
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• DermNet-CNN: A Hyperparameter-Tuned CNN Model for Accurate Skin Disease Detection
  2025 17th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) 2025 DOI: 10.1109/ecai65401.2025.11095543
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• XIMR-Net: A Robust Deep Learning Model for Automated Lemon Leaf Disease Classification
  2025 17th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) 2025 DOI: 10.1109/ecai65401.2025.11095565
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• Improving Medical X-Ray Imaging Diagnosis With Attention Mechanisms and Robust Transfer Learning Techniques
  IEEE Access 2025 DOI: 10.1109/ACCESS.2025.3607639
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