Research Projects

Dr. Mohammad Fayez Al Bataineh

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470K+

AED Research Funding

5+

Active Projects

45+

Publications

15+

Years Research Experience

Active Research Projects

Gene and Regulatory Sequence Identification using Communications Theory
Completed 2025
Period: 2023-2025
Role: Principal Investigator
Type: Start-up Grant (UAEU)
This pioneering project applies advanced communications theory, coding theory, and information theory principles to identify genes and regulatory sequences in genomic data. By treating DNA sequences as communication channels, the research develops novel algorithms for detecting protein-coding regions, transcription factor binding sites, and other regulatory elements with improved accuracy and efficiency.
Funding: 367,000 AED
Offline Assistive System with Stereo Vision for Visually Impaired
Active
Period: 2025-2026
Role: Supervisor
Type: SURE Plus Grant
Development of an innovative offline assistive system utilizing stereo vision technology to aid visually impaired individuals. The system employs computer vision algorithms and machine learning to provide real-time environmental awareness and obstacle detection without requiring internet connectivity.
Funding: 40,000 AED
Innovative Sight-Assist Glasses with CNN-LSTM Architecture
Completed 2025
Period: 2024-2025
Role: Supervisor
Type: SURE Plus Grant
Smart assistive glasses incorporating Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks for real-time scene understanding and object recognition. The system provides audio feedback to help visually impaired users navigate their environment safely and independently.
Funding: 40,000 AED
Assistive Smart Glasses for Visually Impaired
Completed 2023
Period: Feb-May 2023
Role: Supervisor
Type: SDG Grant
Initial prototype of smart glasses designed to assist visually impaired individuals through computer vision and audio feedback systems. This project laid the foundation for subsequent advanced assistive technology research.
Funding: 31,820 AED

Research Areas & Expertise

🔗 Advanced Wireless Communications

  • RIS/IRS-Assisted Systems
  • mmWave and THz Technologies
  • Machine Learning-Enhanced Channel Estimation
  • 5G/6G Wireless Systems
  • MIMO Systems Optimization

🤖 Applied Machine Learning & AI

  • Neural Networks for Engineering
  • Antenna Optimization Algorithms
  • Network Management Systems
  • Computer Vision Applications
  • Deep Learning Architectures

🧬 Computational Biology

  • Genomic Signal Processing
  • Communications Theory in Biology
  • Gene Identification Algorithms
  • Protein Detection Methods
  • Regulatory Sequence Analysis

🌐 Smart Systems & IoT

  • Cybersecurity Education
  • Smart City Technologies
  • Digital Twin Architectures
  • IoT Security Solutions
  • Healthcare IoT Applications

📊 Applied Mathematics

  • Optimization Theory
  • Statistical Signal Processing
  • Information Theory
  • Coding Theory Applications
  • Mathematical Modeling

♿ Assistive Technologies

  • Computer Vision for Accessibility
  • Smart Glasses Development
  • Real-time Object Detection
  • Audio Feedback Systems
  • Offline AI Systems

Research Collaborators

Dr. Haythem Bany Salameh

Wireless Communications & RIS Systems

Dr. Zouhair Al-qudah

Information Theory & Network Optimization

Dr. Zaid Albataineh

5G/6G Communications & Machine Learning

Dr. Mohamoud Al Ahmad

Machine Learning & Signal Processing

Dr. Atef Abdrabou

Smart Systems & Network Management

International Collaborations

Researchers from Jordan, Malaysia, KSA, and USA

Notable Past Research (IIT & Argonne National Lab)

Genomic Translation Analysis Using Communications Theory
Completed 2010
Period: 2007-2010
Role: Ph.D. Research Assistant
Institution: Illinois Institute of Technology
Doctoral research developing novel approaches to analyze gene expression and protein translation by applying communications theory, coding theory, and information theory to biological systems. This groundbreaking work established the foundation for using signal processing techniques in genomics.
Funding: $25,000+ (Research Assistantship)
High-Performance Computing for Biological Data Analysis
Completed 2009
Period: 2008-2009
Role: Research Assistant
Institution: Argonne National Laboratory
Collaborated on high-performance computing applications for processing and analyzing large-scale biological datasets. Developed efficient algorithms for genomic data analysis utilizing parallel computing architectures.

Research Opportunities for Students

Join Our Research Team!

  • Undergraduate Research: SURE Plus grants available for senior students interested in machine learning, computer vision, and assistive technologies
  • Graduation Projects: Multiple GP I and GP II projects available in wireless communications, IoT, and AI applications
  • Master's Programs: Opportunities to work on cutting-edge research in communications theory and computational biology
  • Ph.D. Supervision: Currently accepting Ph.D. students interested in interdisciplinary research combining communications, ML, and bioinformatics
  • Collaboration Opportunities: Open to collaborations with researchers from industry and academia
Contact Me About Research Opportunities View Publications

Pending Grant Proposals

Modular Assistive System with Stereo Vision
Under Review
Type: UPAR Proposal
Status: Under Review
Advanced modular assistive system incorporating stereo vision for enhanced depth perception and spatial awareness for visually impaired users.
Proposed Funding: 348,000 AED
Hybrid AI-DSP Framework for Gene Detection
Under Review
Type: AUA-UAEU Joint Proposal
Status: Under Review
Innovative framework combining artificial intelligence with digital signal processing techniques for improved gene detection and regulatory sequence identification in genomic data.
Proposed Funding: 500,000 AED