Haseena Rahmath

Employment

• Bennett University Phd Scholar
  2021 - 2026
• Techlet Solutions Chief Architect
  2014 - 2018
• Times Business Solution Ltd. Manager – Technology
  2010 - 2013
• J9 Ventures Ltd Sr. S/w Engineer
  2009 - 2010
• Times Business Solution Ltd. Assistant Manager (Technology)
  2007 - 2009

Education

• Bennett University PHD
  2021 - 2026
• Maharshi Dayanand University, Haryana, Computer Engineering
  2012 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• XAI-Exit: Interpretability-Driven Dynamic Early Exits for Efficient and Transparent DNN Inference
  IEEE Transactions on Neural Networks and Learning Systems 2026 DOI: 10.1109/TNNLS.2026.3685408
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• Strategies at a glance: A comparative analysis of training techniques for optimizing early-exit deep neural networks
  Neural Networks 2025 DOI: 10.1016/j.neunet.2025.107970
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• Early-Exit Deep Neural Network - A Comprehensive Survey
  ACM Computing Surveys 2025 DOI: 10.1145/3698767
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• E2G-Net: Enhancing Efficiency in Graph Neural Networks With Early-Exit Branches
  IEEE Transactions on Emerging Topics in Computational Intelligence 2025 DOI: 10.1109/TETCI.2025.3573240
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• HyperGCN – a multi-layer multi-exit graph neural network to enhance hyperspectral image classification
  International Journal of Remote Sensing 2024 DOI: 10.1080/01431161.2024.2370501
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• Adaptive Early-Exit Inference in Graph Neural Networks Based Hyperspectral Image Classification
  Lecture Notes in Networks and Systems 2024 DOI: 10.1007/978-3-031-64847-2_41
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• Unlocking Interpretability: XAI Strategies for Enhanced Insight in GNN-Based Hyperspectral Image Classification
  2024 IEEE International Conference on Computer Vision and Machine Intelligence, CVMI 2024 2024 DOI: 10.1109/CVMI61877.2024.10781678
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• A Strategy to Accelerate the Inference of a Complex Deep Neural Network
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-19-7615-5_5
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• HyperGCN - A Multi-layer Graph Neural Networks to Enhance Hyperspectral Image Classification
  Research Square 2023 DOI: 10.21203/rs.3.rs-3679445/v1
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• Fuzzy based Sentiment Analysis of Online Product Reviews using Machine Learning Techniques
  International Journal of Computer Applications 2014 DOI: 10.5120/17463-8243
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