Trishna Saikia

About

I am a Ph.D. researcher in the Department of Computer Science and Engineering at the Indian Institute of Technology (IIT) Indore, India. My research lies at the intersection of machine learning, computer vision, and trustworthy AI, with a focus on developing robust and reliable AI methods for healthcare. My work spans both medical imaging and contactless physiological sensing, including deep learning approaches for CT and histopathological image analysis, as well as video-based estimation of physiological parameters such as heart rate, respiration rate, blood pressure, oxygen saturation, and hemoglobin. My broader research interests include multimodal learning, representation learning, explainable AI, and developing AI systems that are robust, interpretable, and generalize well to real-world clinical environments.

Employment

• Gauhati University PMRF Guest Faculty
  2025 - 2026
• Shri Govindram Seksaria Institute of Technology and Science PMRF Guest Faculty
  2023 - 2024
• Indian Institute of Technology Indore PMRF research scholar
  2022 - Present

Education

• Indian Institute of Technology Indore Doctor of Philosophy (Ph.D.)
  2022 - Present
• National Institute of Technology Jamshedpur Master of Technology (M.Tech.)
  2020 - 2022
• Gauhati University Bachelor of Technology (B.Tech.)
  2015 - 2019

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Exploring PPG-Guided Knowledge Distillation for Contactless Respiration Estimation
  2026 IEEE 20th International Conference on Automatic Face and Gesture Recognition (FG) 2026 DOI: 10.1109/fg67764.2026.11557053
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• SHINE: Synergizing transformers with contrastive learning for thriving rPPG-based SpO2 estimation
  Expert Systems with Applications 2026 DOI: 10.1016/j.eswa.2025.129190
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• BP-rPPG: An Indian Face-Video Dataset and PPG-Guided Baseline for Remote Blood Pressure Estimation
  IEEE Transactions on Consumer Electronics 2026 DOI: 10.1109/TCE.2026.3719074
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• VOLEMIA: Non-invasive blood pressure estimation using temporal-spectral convolutional network
  Digital Signal Processing 2025 DOI: 10.1016/j.dsp.2025.105393
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• PainXtract: A Multimodal System for Multiclass Pain Classification Using Physiological Signals
  2025 DOI: 10.1145/3747327.3764792
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• AVENUE: A Novel Deepfake Detection Method Based on Temporal Convolutional Network and rPPG Information
  ACM Transactions on Intelligent Systems and Technology 2025 DOI: 10.1145/3702232
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• HREADAI: Heart Rate Estimation From Face Mask Videos by Consolidating Eulerian and Lagrangian Approaches
  IEEE Transactions on Instrumentation and Measurement 2024 DOI: 10.1109/TIM.2023.3334359
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• Computer-Aided Leaf Disease Classification Based on Logistic Regression and Transfer Learning Approach
  Lecture Notes in Electrical Engineering 2023 DOI: 10.1007/978-981-99-0189-0_33
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• Introduction to various optimization techniques
  Nature-Inspired Optimization Algorithms and Soft Computing: Methods, Technology and Applications for IoTs, Smart Cities, Healthcare and Industrial Automation 2023 DOI: 10.1049/pbpc053e_ch1
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• An Automatic Lung Nodule Classification System Based on Hybrid Transfer Learning Approach
  SN Computer Science 2022 DOI: 10.1007/s42979-022-01167-0
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