Dr. Ayaz ul Hassan Khan is a highly skilled and accomplished computer scientist with a vast experience of 18 years in both industry and academia. Throughout his career, he has made positive contributions to various universities and professional organizations, showcasing exceptional problem-solving abilities. As a technology professional, he has successfully served numerous international clients, including Dubai Financial Market, Dubai Municipality, Emirates, Comets Services, Doha Securities Market, Tensator UK, CreditOne Bank of USA, Quadrem Global Supply Chain Solutions, American Honda Motor Company, BMW, Nautilus Incorporation, Bentley Motors, At&T, and VolksWagen. His expertise lies in providing cutting-edge solutions for their day-to-day business processes, such as Queuing Management Systems, Online Ticker Systems, Self-Service KIOSKs, ETL processes, and reporting.

As a computer scientist, Dr. Khan has a keen interest in high-performance computing, parallel programming, and deep learning. He has authored over 25 publications in esteemed journals and conferences and has written a book on parallel processing. He has successfully completed several research projects funded by various sources, with additional projects currently underway, amounting to approximately a million dollars in total.

Dr. Khan holds a PhD degree in Computer Science and Engineering from King Fahd University (Saudi Arabia), a Bachelor of Computer Science and Information Technology from NED University (Pakistan) where he secured the 2nd position with a remarkable 90% score, and an MS in Computer Science from Lahore University of Management Sciences with a CGPA of 3.61. Furthermore, he holds a dozen professional certifications encompassing various technical and soft skills.

In addition to his professional achievements, Dr. Khan is an occasional traveler, both domestically and internationally. He has explored more than 170 cities across 8 countries spanning 4 different continents. His contributions to travel-related information have been highly regarded, earning him the status of a Local Guide - Level 6 on Google maps, with a 5-star rating and an impressive accumulation of 2104 points.