AI-assisted vulnerability discovery can produce technically plausible findings faster than maintainers can validate, coordinate, and safely disclose them. The resulting challenge is not only to establish whether a vulnerability claim is credible, but also to ensure that its supporting evidence, human authorization, int...
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
CivicDividendOS is presented, an end-to-end computational fiscal framework for mixed human-AIrobot economies that introduces an Autonomous Economic Activity Passport that anchors machine activity to accountable corporate beneficiaries, paired with a Factor-Origin Ledger that calculates causal marginal contributions acr...
Toqeer Ali Syed, Ali Akarma, Adeel Ahmad et al.· 0 citations
This paper proposes a blockchain-backed agentic security framework designed to safeguard the complete software development lifecycle (SDLC) while also securing the agentic AI components responsible for monitoring it. The framework coordinates a set of specialised security agents, covering source integrity, dependency a...
A non-local multi-head spatiotemporal attention based long short-term memory model (NL-MHA-LSTM) is introduced which employs an attention mechanism to assign context weights to relevant neighbor vehicles and extends beyond pairwise effects to model long-range dependencies.
S. Rashid, M. A. Khan, Usman Akram et al.· PLoS ONE· 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
An entropy-guided machine learning framework for real-time DDoS detection in SDN environments which is lightweight and explainable and a step towards achieving a balance between the detection performance and operational transparency in next-generation SDN security.
Adeel Ahmad, Ali Akarma, Ahmad Ali 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
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