Research

Research

My research examines how mobile and connected systems can anticipate change, communicate efficiently and remain reliable—from individual vehicles to city-scale infrastructure. This programme is developed through ICAS Lab — Intelligent Connected Autonomous Systems at Kuwait University and international collaboration with the University of Ottawa.

Themes

Four connected areas

These themes share a common goal: translating advances in networking and machine learning into safer, more efficient and more sustainable connected environments.

01

Smart mobility & intelligent transportation

Mobility management, traffic-flow forecasting and predictive models for connected and autonomous transportation systems.

  • Traffic forecasting
  • Mobility prediction
  • ITS
02

Vehicular & wireless networks

Scalable topology discovery, handover management and controller placement for software-defined and 5G/6G-enabled vehicular networks.

  • 5G/6G
  • SDVN
  • Mobility management
03

Machine learning for connected systems

Spatio-temporal representation, time-series classification, perception and fault detection in dynamic networked environments.

  • Deep learning
  • Time series
  • Perception
04

Secure IoT & smart-city infrastructure

Resource-efficient, secure communications and fault-tolerant network services for IoT and urban infrastructure.

  • IoT security
  • Resource allocation
  • Smart cities

Research environment

Research laboratories

Research leadership and international collaboration supporting connected and autonomous systems.

ICAS Lab — Intelligent Connected Autonomous Systems

Director of Kuwait University’s research laboratory for intelligent mobility, autonomous perception and robotics.

PARADISE Research Laboratory

Research Fellow at the University of Ottawa since 2021, collaborating on intelligent 5G/6G vehicular-network protocols and co-supervising graduate researchers.

Projects

Current and recent work

Four active funded projects spanning artificial intelligence in higher education, time-series learning and network optimization.

Enhancing Research Productivity of Universities in Kuwait: An AI-Driven Framework for Higher Education Academia

Co-Principal Investigator · Kuwait Foundation for the Advancement of Sciences · Multi-institutional study of AI adoption and research productivity across Kuwaiti higher education.

Multivariate Time Series Reduction and Classification

Principal Investigator · Kuwait University grant SU05/25 · KD 3,950 · Methods for representing and classifying complex multivariate time-series data.

Evaluating Optimization Techniques in Network Structures

Co-Principal Investigator · Kuwait University grant SU02/25 · KD 4,000 · Comparative evaluation of optimization approaches for networked systems.

Trust-Based Optimization Techniques for LPWANs

Co-Investigator · Kuwait University grant SU04/25 · Trust-aware optimization for low-power wide-area networks.

I welcome collaborations where intelligent networking can improve mobility, resilience and sustainability. Discuss a research idea.