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Eman M. Hammad

8 papers hereh-index 314 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • eess.SY4
  • cs.AI1
  • cs.CR1
  • cs.NI1
  • cs.SI1
same name
  • Eman M. Hammad — 4 papers, h 6
  • Eman M. Hammad — 4 papers, h 18
  • Eman M. Hammad — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators
Showing eess.SYShow all

4 papers · 1 filter

eess.SY2026

Practical Zero-Trust for Mission-Critical Robotic Fleets via Hardware Attestation and Packet Timing Watermarking

Ryne Gonzales, Ethan Liesdyanto, Rex Worley +3

Autonomous unmanned vehicles are vital to tactical missions, mission-critical public-safety operations like search and rescue and disaster response. However, their reliance on open…

eess.SY2026

Resilient Control Loops in Autonomous Vehicles Under Adversarial Jamming via Spectral Perception and Network-Layer Failover

Luis Barajas, Colin Jeardoe, Jaewon Kim +1

The operational integrity of autonomous mobile robots relies on the continuous availability of wireless control loops, making them highly attractive targets for adversarial intenti…

eess.SY2026

Parameters Overshadowed by Price Lags: Load, Climate, and Calendar Effects in ERCOT Day-Ahead Price Formation

Yunus Bicen, Eman Hammad

Accurate electricity price forecasting is critical for smart grid stability, yet the heavy reliance on historical price lags in modern predictive models often obscures the fundamen…

eess.SY2026

Towards Cyber-Physical Cognition: A Unified Ontology-Driven Knowledge Graph for Real-Time Autonomous Grid Operations

Sathvik Sankaranarayanan, Michael Mandulak, Ibrahim Shahbaz +1

Modern power systems and smart grids are often composed of fragmented and heterogeneous data silos, which lack the cohesion needed for effective cross-domain analysis. For this, th…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.