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Syed Sajid Ullah

2 papers indexed

arxivcs.LGcs.AI2026-07-21

Regime-Aware Physics-Guided Early Warning of Lithium-Ion Battery Thermal Runaway Using Thermo-Mechanical Signals

Syed Sajid Ullah, Muhammad Zunair Zamir, Salman Khan

Thermal runaway in lithium-ion batteries poses a major safety risk to electric vehicles and energy storage systems. Current early-warning methods depend mainly on temperature and may therefore miss mechanical precursors that emerge before rapid heating. We introduce a regime-awar…

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crossrefSensors2022-10-17Cited by 65

Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Direction

Naveed Ahmed, Asri bin Ngadi, Johan Mohamad Sharif, Saddam Hussain, Mueen Uddin, Muhammad Siraj Rathore, et al.

A revolution in network technology has been ushered in by software defined networking (SDN), which makes it possible to control the network from a central location and provides an overview of the network’s security. Despite this, SDN has a single point of failure that increases t…

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