PositionResearch Assistant, KU 6G Research Center
LocationAbu Dhabi, United Arab Emirates
Emailaminekidane4@gmail.com
Phone(+971) 503437768
LinksLinkedIn · GitHub · Semantic Scholar
CV
Amine Kidane Ghebreziabiher
A detailed curriculum vitae aligned with the updated resume, including the latest publication status and research highlights.
Education
BSc in Computer Engineering (AI Track)
Aug 2019 – Jan 2024Khalifa University · Abu Dhabi, UAE
- GPA: 3.96/4.0
- President's List: 8/9 semesters
- Full Undergraduate International President's Scholarship (10% acceptance rate)
Experience
Research Assistant
Jun 2024 – PresentKU 6G Research Center, Khalifa University · Abu Dhabi, UAE
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.
AI Software Engineer Intern
Jan 2024 – May 2024Rhetora.ai · Remote
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.
Visiting Undergraduate Researcher
May 2023 – Aug 2023eBrain Lab, NYU Abu Dhabi · Abu Dhabi, UAE
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.
Cybersecurity Intern
Jun 2022 – Sep 2022EBTIC · Abu Dhabi, UAE
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.
Technical Skills
Languages
PythonJavaCC#C++MATLABTypeScriptJavaScriptSQLPHP
Frameworks
HuggingFaceOpenCVScikit-learnTensorFlowPyTorchKerasQiskitReactDjangoNode.js
Cloud & Compute
HPCAWSAlibaba CloudRunPodVast.ai
Tools
GitVS CodeVisual StudioEclipseIntelliJ IDEAMATLABR
Databases
MySQLPostgreSQLMongoDBSQL
Robotics
ROS 2PX4NavigationLocalization
Publications
Five papers accepted across journals, conferences, and magazines, with two additional manuscripts under review.
Accepted
- AI-Native Cloud-Edge Orchestration for 6G Metaverse Networks: An LLM-Guided Multi-Agent DRL Approach. Complex & Intelligent Systems — Accepted (January 2026).
- A RAG-Assisted DRL Framework for Microservices Deployment in 6G Vehicular Networks. IEEE WiMob 2025 — Accepted (October 2025).
- On-Demand Vehicular Service Deployment in 6G: A Collaborative Large-Small LM Architecture. IEEE Vehicular Technology Magazine — Accepted (July 2025).
- Move-LLM: Multimodal LLM-Assisted DRL Framework for On-Demand Service Deployment in 6G Vehicular Networks. IEEE Transactions on Vehicular Technology — Accepted (June 2025).
- Towards On-Demand Metaverse Service Deployment in 6G Vehicular Networks Using Multimodal LLMs. IEEE INFOCOM 2025 Workshops — Accepted (2025).
Under review
- A Hierarchical Agentic Framework for Self-Organizing Next Generation Wireless Networks. IEEE Network Magazine — Under Review (February 2026).
- Large Language Model-Based Trajectory Forecasting for Dependency-Aware Microservice Migration in 6G Vehicular Edge Networks. IEEE Journal on Selected Areas in Communications — Under Review (November 2025).
Projects, awards, and extracurriculars
Selected projects
- Electrical Impedance Tomography Image Reconstruction. Explored variational autoencoders for ill-posed inverse problems in EIT image reconstruction, targeting measurable image-quality gains over prior baselines. (Aug 2023 – Jan 2024).
- Automatic Waste Segregation System. Led a patented senior design project on smart waste segregation using computer vision modules and mechanical actuators. (Sep 2022 – Sep 2023).
- MBZIRC Maritime Grand Challenge. Worked on computer vision and navigation for heterogeneous teams of UAVs and USVs operating in GNSS-denied environments. (Oct 2022 – Jan 2023).
- ZenMate. Built a chatbot on Alibaba Cloud using Llama 2 during the Alibaba Cloud GenAI Hackathon. (Oct 2023).
- Quantum Crop Rotation Optimizer. Developed a quantum-computing-based crop rotation optimizer for UAE agriculture at the NYUAD Hackathon for Social Good. (Apr 2023).
- High-Speed Printing Anomaly Detector. Created an anomaly detector for high-speed printing systems using PaDiM to improve production monitoring efficiency. (Oct 2023).
Awards and leadership
- EDGE Pioneers 4.0 Hackathon Series 3 — anomaly detector for high-speed printing systems
- Alibaba Cloud GenAI Hackathon 2023 — recognized as Sustainability Expert in GenAI for Social Good in MENA
- 17th IEEE Software Engineering Competition — Second Prize
- Khalifa University Programming Contest — First Prize (won twice)
- Musabaqat Mathematics Competition V — 5th among 90 students from 4 universities
- Open Mathematics Olympiad — Second Prize
- Golden Key International Honor Society Inductee
- Co-founded the AI Club at Khalifa University, grew it to 250+ members, and helped organize LLM-focused activities and hackathons.
- Completed 150 hours of peer tutoring in C++ and Calculus across three semesters.
- Represented Khalifa University in the Techstars Innovation Bootcamp IP commercialization challenge.
- Organized a Global Day event centered on Eritrean culture and presentation design.