When autonomous systems take operational authority over urban commerce, accountability and human oversight matter as much as efficiency. We present AAIRM, a governance-aware autonomous retail coordination framework addressing three requirements for trustworthy procurement: tamper-evident decision provenance, data sover...
Toqeer Ali Syed, Ali Akarma, Shahid Kamal et al.· Frontiers in Artificial Inte...· 1 citation
Contemporary fiscal architectures rely overwhelmingly on human labor income and payroll withholdings to finance social insurance and public infrastructure. The rapid diffusion of autonomous software agents, generative foundation models, and embodied robotic systems decouples output growth from human work hours, eroding...
Toqeer Ali Syed, Ali Akarma, Adeel Ahmad et al.· 0 citations
The proposed prototype validates the feasibility of deploying privacy-preserving, edge-native assistive intelligence for cost-sensitive mobility assistance on an ultra-low-power Raspberry Pi Zero 2W.
Ali Akarma, Adeel Ahmad, Toqeer Ali Syed· 0 citations
A rapid review applies operationalized criteria to separate Agentic AI from conventional machine learning for SDG 11 and SDG 13, revealing a field growing sharply since 2023, clustered in a few urban and climate domains, with almost no validated cross-domain deployment.
Toqeer Ali Syed, Ali Akarma, M. Naqash et al.· Sustainability· 10 citations
This paper presents MetaBlind, an architecture that distributes nonvisual access across eight specialized agents, spanning perception, navigation, social and object interaction, communication, safety and trust, memory, and personalization, and that places an Accessibility Orchestrator between those agents and the user.
Toqeer Ali Syed, Ali Akarma, Adeel Ahmad et al.· 0 citations
Results demonstrate that combining simulation-enabled digital twins with governance-aware agentic orchestration measurably improves response efficiency, recommendation quality, and action accountability within the bounds of a synthetic evaluation environment.
Toqeer Ali Syed, Ali Akarma, Ali Alatify et al.· PLoS ONE· 7 citations
As vehicular networks move toward 5G/6G edge intelligence, federated learning (FL) is widely promoted as a privacy-preserving way for vehicles and infrastructure to train shared models without exposing raw sensor data. Yet the updates clients transmit still leak enough information to identify who sent them, which threa...
Ali Akarma, Toqeer Ali Syed, Muhammad Khan et al.· 0 citations
VNVSpec, an open-source framework that makes V&V specifications machine-readable and executable, is introduced, which can handle up to 10,000 requirements and is evaluated by self-application, in which it is continuously assessed in CI against its own specification.
M. Arief, Nur Ahmad Khatim, Ali Akarma et al.· 0 citations
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