Amine Kidane

KU 6G Research Center, Khalifa University

Research on DRL- and RAG-enhanced multimodal LLM frameworks for on-demand service deployment in 6G vehicular networks.

• Designed LLM-assisted deployment frameworks that reason over conversational, visual, and sensory inputs under real-time constraints.
• Worked across institutions on 6G network intelligence, microservice placement, and edge computing paradigms.
• Contributed to a publication pipeline that now includes five accepted papers and two manuscripts under review across IEEE and Complex & Intelligent Systems venues.

Rhetora.ai

Built an AI co-pilot sales platform spanning prospecting, lead nurturing, and deal closure workflows.

• Integrated automation, scheduling, and AI assistance into a single sales workflow.
• Focused on practical decision-support tooling rather than isolated model demos.

eBrain Lab, NYU Abu Dhabi

Designed a quantized and hardware-aware neural architecture search framework for autonomous robots.

• Achieved 15% faster inference and 1.2x higher energy efficiency on embedded GPUs.
• Explored hardware-software co-design for deployable AI in robotic settings.

EBTIC

Studied defenses against adversarial attacks on machine-learning models in cyber-physical systems.

• Evaluated robustness-enhancement strategies for safety-sensitive settings.
• Improved resilience with a 5.7% reduction in successful attack rates.