EDBT 2026 Demo / reviewers in the wild / expert
Subhajit Bandopadhyay
dblp:248/0778
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 2 since 2021Systems, architecture and hardware · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
1 paper |
Software testing · 67% Program verification · 33% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 33% Distributed systems · 33% Parallel and multicore computing · 33% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Software testing
concurrency testing |
1.0 | 1 | 2026 | Lessons Learned from Incorporating Formal Methods in Huawei Cloud Reliability · EuroSys 2026 |
Program verification
deductive verification |
1.0 | 1 | 2026 | Lessons Learned from Incorporating Formal Methods in Huawei Cloud Reliability · EuroSys 2026 |
Software testing › concurrency testing
probabilistic concurrency testing |
1.0 | 1 | 2026 | Lessons Learned from Incorporating Formal Methods in Huawei Cloud Reliability · EuroSys 2026 |
Cloud and datacenter computing
cloud service reliability |
0.3 | 1 | 2026 | Lessons Learned from Incorporating Formal Methods in Huawei Cloud Reliability · EuroSys 2026 |
Distributed systems
distributed coordination |
0.3 | 1 | 2026 | Lessons Learned from Incorporating Formal Methods in Huawei Cloud Reliability · EuroSys 2026 |
Parallel and multicore computing
load balancing |
0.3 | 1 | 2026 | Lessons Learned from Incorporating Formal Methods in Huawei Cloud Reliability · EuroSys 2026 |
Methods — techniques the papers use, named apart from their topics
probabilistic concurrency testing · 2.0model checking · 2.0deductive verification · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Lessons Learned from Incorporating Formal Methods in Huawei Cloud ReliabilityabstractFormal methods are increasingly adopted in systems where reliability and correctness are critical, enabled by improvements in tool usability, speed, and automation. This industrial experience report presents three projects at Huawei Cloud showcasing different trade-offs in investment and assurance levels. We applied probabilistic concurrency testing, model checking, and deductive verification to two foundational services in the database and networking domains: the K2 transactional key-value store and the Global Server Load Balancer (GSLB). Claudia Cauli, Timo Lang, Sebti Mouelhi, Subhajit Bandopadhyay, Xusheng Chen, Yazhi Feng, Haoze Song, Linhua Tang, Zhenli Sheng, Ananth Shrinivas Srinath |
EuroSys | 6 |
| 2024 | Static and Dynamic Analysis of a Usage Control SystemabstractThe ability to exchange data while maintaining sovereignty is fundamental to emerging decentralized data-driven ecosystems. Data sovereignty refers to the entity's capability to be self-determined concerning data usage. As such, a data usage control system (UCON) is critical for sovereignty. UCON, a generalization of attribute-based access control, enforces continuous authorization, allowing attribute mutability after access is granted. In theory, UCON comprises a policy language to express constraints and obligations of data usage, and a technology to evaluate and enforce them. In practice, realizing the above is challenging and poses trust concerns. Partly, this is due to the complexity of UCON (continuous authorization, obligations) and the advanced usage constraints (stemming from, e.g., regulations or business contracts) combined with the decentralized nature of data ecosystems that allow different actors (e.g., data provider, security engineers) to author policies, and operate UCON. To that end, we propose to aid actors with automated policy analysis and verification methods. We present a new policy analysis method based on the combination of symbolic execution for policy evaluation and SMT solving to compute concrete scenarios answering queries on the policies. Our approach supports symbolic queries, where attribute values may be concrete values, a range of values, or symbolic variables. We also propose a monitoring approach using RTLola tool to verify the correctness of UCON's behavior in terms of decisions, obligations, and user-specified properties. To monitor obligations, we define their essential parameters and show how to monitor their fulfillment based on the configuration. We also present eight templates that allow users to generate the most important properties for monitoring UCON. Ulrich Schöpp, Fathiyeh Faghih, Subhajit Bandopadhyay, Hussein Joumaa, Amjad Ibrahim, Chuangjie Xu, Xin Ye 0013, Theodosis Dimitrakos |
SACMAT | 3 |
| 2021 | SIUV: A Smart Car Identity Management and Usage Control System Based on Verifiable Credentials
Ali Hariri, Subhajit Bandopadhyay, Athanasios Rizos, Theodosis Dimitrakos, Bruno Crispo, Muttukrishnan Rajarajan |
SEC | 2 |