Virtual research collective · DistributedGitHub

forming · Distributed

Independent minds. Shared standards. Research for the agentic era.

REQS Labs is a virtual research collective for high-quality research in the agentic AI era, pairing rigorous inquiry with agent-enabled prototyping and a stronger path toward technology transfer and commercialisation.

ModelVirtual research collective
Member labs01
PurposeQuality and translation
Statusforming

Member labs

Independent programmes. One public standard.

Lab directory

Research agenda

Work that crosses systems without losing disciplinary depth.

Research directions
01

Current programme

Agentic and multi-agent systems

Research on agents that plan, act, coordinate, and alter external systems over extended periods.

02

Current programme

Trustworthy and secure digital systems

Work on assurance, privacy, security requirements, protocol trust, and resilience under adversarial conditions.

03

Open direction

Agentic science and domain research

A future space for domain-led labs that use AI agents while preserving the methods, evidence, and limits of their field.

04

Current programme

Resilient decentralized infrastructure

Research on programmable blockchains, cyber-physical systems, and emerging infrastructure that must remain dependable under attack.

Selected evidence

Research records readers can inspect.

All selected work
  1. 012026

    Paper · IEEE Transactions on Emerging Topics in Computing

    MEV Detection for Ethereum Security: An Empirical Analysis on Agreement and Scalability

    Shraddha M. Naik, Huned Materwala, Davor Svetinovic

  2. 022026

    Paper · IEEE Transactions on Instrumentation and Measurement

    An AI-Based Supervisory Measurement Integrity Validation Layer for Cyber-Resilient AC/DC Protection in Inverter-Based Microgrids

    Ahmad Mohammad Saber, Ahmed Saber Refae, Davor Svetinovic, Hatem Zeineldin, Amr Youssef, Deepa Kundur, Ehab F. El-Saadany

  3. 032024

    Paper · IEEE Cybermatics 2024

    On the Security and Privacy Implications of Large Language Models: In-Depth Threat Analysis

    Luis Ruhländer, Emilian Popp, Maria Stylidou, Sajjad Khan, Davor Svetinovic

Operating principles

A small collective with explicit rules.

01

Independent programmes

Each member lab has its own lead, research question, repository, and public record.

02

Shared standards

Public claims point to evidence, contributors receive credit, and uncertain material stays unpublished.

03

Review before release

Every site change passes through a preview and human review before it reaches a public REQS domain.

04

Useful research artifacts

Papers sit alongside code, data, protocols, and careful records of methods and limits when they can be shared.

Future labs

Invitation starts with the research question.

New labs join after their scope, lead, public record, and first site pass review.

Read the invitation process