Aditya P. Mathur
Engineering · Purdue University West Lafayette
Publications
238
Citations
8,969
Est. group size
—
Recurring co-author estimate
Active years
41
Publishing since 1986
Aditya P. Mathur works on securing critical infrastructure systems such as water treatment plants and smart grids, focusing on detecting anomalies and cyberattacks in industrial control systems. His research combines software testing methods, machine learning, and system design to build tools like digital twins and honeypots that help operators identify malicious activity or equipment faults. Much of this work uses testbeds that simulate real-world utility systems to evaluate detection and response techniques before deployment.
Publication output was relatively steady at 10-13 papers per year from 2017-2021, then declined to roughly 4-7 papers per year from 2022 onward.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Beyond Anomaly Detection: Securing Critical Infrastructure Using Plantshield
2026
- A Design‐Driven Machine Learning Approach for Invariant Mining in a Smart Grid
IET Cyber-Physical Systems Theory & Applications · 2026
- Research note: The impact of absolute false positive rates on the operational reliability of anomaly detectors in critical infrastructure
Reliability Engineering & System Safety · 2026
- A Cyber-Twin Based Honeypot for Gathering Threat Intelligence of Critical Infrastructure
2026
- Designing an mHealth prototype for people with disabilities: insights from co-design and heuristic evaluation
Disability and Rehabilitation Assistive Technology · 2025
- PlantShield: An Automated Response Tool for Critical Infrastructures
2025
- Assessing the Effectiveness of PCAT in Avoiding Process Anomalies in Water Treatment Plants
IEEE Transactions on Industrial Informatics · 2025
- Design-Inspired K-means-Based Statistical Approach for Sensor Drift Detection in Water Treatment Systems
SSRN Electronic Journal · 2025
- Fusing Design and Machine Learning for Anomaly Detection in Water Treatment Plants
Electronics · 2024
- Adaptive Data-Driven LSTM Model for Sensor Drift Detection in Water Utilities
Communications in computer and information science · 2024
- DRACE: A Framework for Evaluating Anomaly Detectors for Industrial Control Systems
2024
- Varicose Veins: A Comprehensive Review of Pathophysiology, Anatomy and Management Strategies
International Journal of Pharmaceutical Sciences Review and Research · 2024
- An Overview of Pathophysiology and Management of Cervical Cancer
International Journal of Pharmaceutical Sciences Review and Research · 2024
- A Review on Acute Pancreatitis: Pathogenesis and Pathophysiology
International Journal of Pharmaceutical Sciences Review and Research · 2024
- Reconfigurable Digital Twin to Support Research, Education, and Training in the Defense of Critical Infrastructure
IEEE Security & Privacy · 2023
- Lecture notes in computer science×7
- International Journal of Critical Infrastructure Protection×6
- arXiv (Cornell University)×4
- International Journal of Pharmaceutical Sciences Review and Research×3
- Cybersecurity×2
- Jin Wei‐Kocsis
Engineering · Purdue University West Lafayette
- Pavan Kumar Vaddi
Engineering · The Ohio State University
- Mukai Zhang
Engineering · Purdue University West Lafayette
- Husheng Li
Engineering · Purdue University West Lafayette
- Bharat Bhargava
Computer Science · Purdue University West Lafayette
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.
Claim or correct this profile