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Faculty Profile

Dr. Lubaid Ahmed

Assistant Professor
Computer Science

Dr. Lubaid Ahmed is an experienced academician, researcher, and higher education professional serving as an Assistant Professor in the Department of Computer Science. He possesses both a PhD and an MSc in Computer Science, with a strong background in teaching, research, and academic administration, consistently contributing to the advancement of higher education.

His instructional style combines contemporary teaching practices, flipped classroom strategies, hands-on laboratory sessions, and technology-driven learning.

As a committed educator and active researcher, he remains dedicated to encouraging innovation, maintaining academic quality, and strengthening collaboration between academia and industry, while equipping students for future opportunities in computing and technology.

  1. PhD Computer Science — Ryerson University, Toronto, Canada
  2. MSc Computer Science — Ryerson University, Toronto, Canada
  1. Assistant Professor — UIT University, Karachi (Nov 2021 – to date)
  2. Assistant Professor — Usman Institute of Technology, Karachi (Feb 2017 – Nov 2021)
  1. Artificial Intelligence
  2. Data Science
  3. Natural Language Processing
  4. Big Data Analytics
  5. Data Warehousing
  6. Cloud Computing
  7. Database Systems
  8. Statistical and Mathematical Methods
  9. Operating Systems
  10. Theory of Automata
  11. Data Structures
  12. Computer Architecture
  1. Intelligent Information Retrieval from Unstructured Data using Natural Language Processing
  2. An efficient Convolutional Neural Network (CNN) Based Image Colorization Technique
  3. A Real-Time Mobile and Web-Based Logistics Management System for Collaborative Urban Freight Transportation
  4. An Automated Ceramic Tiles Inspection System using Image Processing Technique with Cloud Management System
  5. An efficient Image Processing Technique to Measure and Align Vehicle Wheel Cylinder with Cloud Management System
  6. A Comparative Study of Curvature-Based and Differential Versions of Dotted Raster-stereography Techniques
  7. Indoor Obstacle Detection and Avoidance
  8. A Comparative Evaluation of Dotted Raster-stereography and Feature-Based Techniques for Automated Face Recognition
  9. Communicator for Hearing-Impaired Persons using Pakistan Sign Language (PSL)
  10. Object’s Shape Recognition using Local Binary Patterns
  11. Secure File Storage and Encryption using Distributed Storage Servers
  12. Smart Real-Time Health Monitoring System
  13. Forecasting Climate Extremes — A Data Driven Approach
  14. Forecasting Climate Extremes — A Data Driven Approach
  15. A Modified Dot-Pattern Moiré Fringe Topography Technique for Efficient Human Body Surface Analysis

Supervised multiple innovative and industry-focused student projects supported by the Ignite National Technology Fund and IEEE programs.