Welcome to CogniMobility, your premier hub for deep insights into the next generation of Intelligent Transportation Systems (ITS). We delve into the core technologies from embedded sensors and edge computing to cloud analytics and AI that are transforming how we understand and manage urban mobility.

Modern transportation networks face immense pressure, leading to congestion, inefficiency, and deteriorating infrastructure. At CogniMobility, we believe the solution lies in a data-driven revolution. We explore how turning the Vehicle into a Sensor (VaaS), deploying innovative ITS sensing technologies, and leveraging advanced mathematical modelling and simulation can create smarter, safer, and more sustainable cities.

Our focus is on the entire data pipeline:

  • Sensing & Data Acquisition: From in-vehicle OBD-II telematics and smartphone probes to roadside IoT sensors and video analytics, we cover the technologies that gather critical data on traffic flow, vehicle health, and road pavement condition.
  • Edge & Fog Computing: We examine how processing data at the source on the vehicle or at the roadside enables real-time decisions for congestion alerts, pothole detection, and incident response.
  • Cloud Analytics & AI: We explore how aggregating data in the cloud powers macroscopic insights, predictive simulation models, and AI-driven strategies for system-wide optimization.
  • Modeling & Simulation: Fundamental to our work is the development and analysis of mathematical models that accurately describe complex traffic dynamics, allowing us to simulate scenarios and predict outcomes before implementing solutions in the real world.

Our Team

The CogniMobility team is a dedicated duo of researchers and engineers passionate about translating complex technological concepts into real-world intelligent transportation solutions. Our combined expertise spans the critical fields of embedded systems, data science, cloud computing, and AI.

Dr. Khurram Shehzad Khattak

Founder & Lead Researcher

Dr. Khurram S. Khattak is a Tenured Associate Professor of Computer Engineering at the University of Engineering and Technology (UET) Peshawar, Pakistan and the Team Lead for the Intelligent Transportation vertical at the National Center for Big Data and Cloud Computing (NCBC). With a Ph.D. in Computer Engineering from The George Washington University, USA, he brings over two decades of experience in both high-stakes industry projects and cutting-edge academic research. His work focuses on AI-driven traffic prediction, cyber-physical systems, and leveraging the “Vehicle as a Sensor” paradigm to solve pressing transportation challenges. He is a Chartered Engineer (CEng) and an AWS Certified Solutions Architect.

Engr. Ahmad Mustafa

Co-Founder & Lead Developer

Professional headshot of a researcher specializing in Intelligent Transportation Systems, AI, and Smart Mobility

Engr. Ahmad Mustafa is a researcher and technology enthusiast specializing in Intelligent Transportation Systems (ITS), AI, and Smart Mobility. My work focuses on traffic flow forecasting, sensor fusion, and deep learning to build innovative solutions for autonomous vehicles and smart cities. With experience as a Lab Engineer in Computer Systems Engineering, contributions to IoT-based sensor development, and a patent in ITS, I aim to bridge cutting-edge AI research with real-world transportation challenges to enhance safety, efficiency, and sustainability.

Why We Started CogniMobility:

This platform was created to bridge the gap between cutting-edge academic research and practical industry application. Through our articles, research summaries, and case studies, we aim to:

  • Share Groundbreaking Work: Showcase the innovative projects from our lab and the National Center for Big Data & Cloud Computing (NCBC), especially in pavement monitoring via crowdsensing and VaaS paradigms.
  • Translate Complexity: Break down sophisticated research in mathematical modeling and simulation into clear, actionable insights for engineers, planners, and enthusiasts.
  • Foster a Community: Build a collaborative network of professionals and students passionate about solving transportation challenges with technology.
  • Highlight Transformation: Demonstrate the tangible potential of embedded systems, AI, and distributed computing to solve real-world problems in transportation infrastructure.

Join the Conversation:

The intelligent transportation landscape is evolving at an unprecedented pace. CogniMobility is more than a blog; it’s a community dedicated to engineering the future of mobility. We invite you to engage with our content, share your perspectives, and contribute to the discussion.

Let’s build the future of transportation, together.