Kaushik Roy
Computer Science · Purdue University West Lafayette
Publications
73
Citations
580
Est. group size
—
Recurring co-author estimate
Active years
38
Publishing since 1988
This researcher works in computer science, with recent projects spanning machine learning, deep learning, and applied AI systems. The work covers a mix of topics including handwriting and signature verification, lifelong/continual learning for robotics and imitation learning, healthcare-related prediction and monitoring systems, and edge AI hardware design. There is also earlier work touching on face recognition and document image analysis.
Publication output was moderate through 2017-2019, dropped sharply in 2020-2022, and then rebounded strongly with a notable increase in 2024 and 2025.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Interwoven Threads: AI’s Role in the Fabric of Smart Healthcare
2025
- Advanced Ensemble Machine Learning Framework for Lung Cancer Prediction: A Comprehensive Multi-Algorithmic Approach with Sophisticated Feature Engineering and Clinical Decision Support Integration
2025
- Writer Identification Using Cross-Script Signature Images
Lecture notes in networks and systems · 2025
- Spoken Metro Station Name Identification: A Deep Learning-Based Approach
Communications in computer and information science · 2025
- M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning
2025
- Evaluating the Tri-Script Writer Verification System Using a Handcrafted Features and Vision Transformer Learning Approach
Communications in computer and information science · 2025
- EDM10: A Polyphonic Stereo Dataset with Identical BGM for Musical Instrument Identification
Lecture notes in computer science · 2024
- Revolutionising healthcare monitoring: an intelligent machine learning approach to real-time body posture identification in bedridden patients
2024
- M2Distill: Multi-Modal Distillation for Lifelong Imitation Learning
arXiv (Cornell University) · 2024
- SHA-CNN: Scalable Hierarchical Aware Convolutional Neural Network for Edge AI
arXiv (Cornell University) · 2024
- Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
arXiv (Cornell University) · 2024
- Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
2024
- Enchanced CAV Security Using Machine Learning
2024
- Subspace distillation for continual learning
Neural Networks · 2023
- CL3: Generalization of Contrastive Loss for Lifelong Learning
Journal of Imaging · 2023
- arXiv (Cornell University)×10
- Communications in computer and information science×2
- Journal of the International Academy of Case Studies×2
- Neural Networks×1
- Physical Review Applied×1
- Minyoung Kim
Computer Science · The Ohio State University
- Ze Wang
Computer Science · Purdue University West Lafayette
- Cheng-Hao Tu
Computer Science · The Ohio State University
- Qiang Qiu
Computer Science · Purdue University West Lafayette
- Wei‐Lun Chao
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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