Gokul S Krishnan

Employment

• Indian Institute of Technology Madras Post Doctoral Fellow
  2020 - 2022
• Penzigo Technology Solutions Pvt. Ltd. Data Scientist
  2020 - 2020

Education

• National Institute of Technology Karnataka Ph.D.
  2016 - 2020
• VIT University Master of Technology
  2014 - 2016
• College of Engineering Chengannur Bachelor of Technology
  2010 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (16)

• LineConGraphs: Line Conversation Graphs for Effective Emotion Recognition Using Graph Neural Networks
  IEEE Transactions on Affective Computing 2025 DOI: 10.1109/TAFFC.2025.3537538
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• LExT: Towards Evaluating Trustworthiness of Natural Language Explanations
  2025 DOI: 10.1145/3715275.3732104
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• Deep Neural Learning for Automated Diagnostic Code Group Prediction Using Unstructured Nursing Notes
  Proceedings of the 7th ACM IKDD CoDS and 25th COMAD 2020 DOI: 10.1145/3371158.3371176
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• FarSight: Long-Term Disease Prediction Using Unstructured Clinical Nursing Notes
  IEEE Transactions on Emerging Topics in Computing 2020 DOI: 10.1109/tetc.2020.2975251
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• Hybrid Text Feature Modeling for Disease Group Prediction Using Unstructured Physician Notes
  2020 DOI: 10.1007/978-3-030-50423-6_24
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• A novel GA-ELM model for patient-specific mortality prediction over large-scale lab event data
  Applied Soft Computing 2019 DOI: 10.1016/j.asoc.2019.04.019
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• A Supervised Approach for Patient-Specific ICU Mortality Prediction Using Feature Modeling
  2019 DOI: 10.1007/978-981-13-3648-5_32
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• Coherence-Based Modeling of Clinical Concepts Inferred from Heterogeneous Clinical Notes for ICU Patient Risk Stratification
  Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL) 2019
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• Evaluating the quality of word representation models for unstructured clinical Text based ICU mortality prediction
  Proceedings of the 20th International Conference on Distributed Computing and Networking 2019
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• Ontology-driven Text Feature Modeling for Disease Prediction using Unstructured Radiological Notes
  Computación y Sistemas 2019
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