Sudip Vhaduri
Computer Science · Purdue University West Lafayette
Publications
81
Citations
1,373
Est. group size
~1
Recurring co-author estimate
Active years
18
Publishing since 2009
Sudip Vhaduri works on securing wearable and Internet of Things (IoT) devices using biometric signals such as heart rate and breathing patterns, and on analyzing health-related audio data like cough and breathing sounds to detect conditions such as COPID-19 and COPD. Their work also examines machine learning methods like few-shot learning, contrastive learning, and federated learning as applied to health sensing and authentication problems, and considers fairness and security issues in these systems.
Publication output has grown steadily over the last decade, rising from about 4-5 papers per year in 2017-2019 to a peak of around 9-11 per year in 2023-2024, with a slight tapering in 2025-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Understanding Stability of Choices: Toward Robust Choice-Based Authentication in Cybersecurity
2026
- Understanding the Effectiveness of Few-Shot Learning in Cough Sound Classification
Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · 2026
- Biometrics for Wearable Devices
2025
- Challenges and Opportunities of Generative Ai Models in Audio/Acoustic
SSRN Electronic Journal · 2025
- Challenges and Opportunities of Federated Learning In the Age of IoT: A Multi-Domain Comprehensive Survey
2025
- A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains
arXiv (Cornell University) · 2025
- mWIoTAuth: Multi-wearable data-driven implicit IoT authentication
Future Generation Computer Systems · 2024
- The Relationship Between Self-Reported Nocturnal Cough Symptoms and Acoustic Cough Monitoring
Journal of Voice · 2024
- Explaining vulnerabilities of heart rate biometric models securing IoT wearables
Machine Learning with Applications · 2024
- Mitigating Sex Bias in Audio Data-Driven COPD and COVID-19 Breathing Pattern Detection Models
2024
- Mitigating Sex Bias in Audio Data-driven COPD and COVID-19 Breathing Pattern Detection Models
arXiv (Cornell University) · 2024
- Challenges and Opportunities of Biometric User Authentication in the Age of IoT: A Survey
ACM Computing Surveys · 2023
- Environment Knowledge-Driven Generic Models to Detect Coughs From Audio Recordings
IEEE Open Journal of Engineering in Medicine and Biology · 2023
- Implicit IoT authentication using on-phone ANN models and breathing data
Internet of Things · 2023
- Bag of On-Phone ANNs to Secure IoT Objects Using Wearable and Smartphone Biometrics
IEEE Transactions on Dependable and Secure Computing · 2023
- arXiv (Cornell University)×17
- Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering×4
- Smart Health×3
- IEEE Access×2
- EAI/Springer Innovations in Communication and Computing×2
- Brittany Lewis
Computer Science · Indiana University
- Jeremiah Blocki
Computer Science · Purdue University West Lafayette
- Habiba Farrukh
Computer Science · Purdue University West Lafayette
- Tao Li
Engineering · Purdue University West Lafayette
- Huina Mao
Social Sciences · Indiana 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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